KUALA LUMPUR, May 1 — The government will introduce the Post-Maternity Leave Allowance as a progressive measure to support women’s participation in the workforce and reduce the stress faced by mothers after giving birth.Prime Minister Datuk Seri Anwar Ibrahim said the initiative was introduced following findings that the labour force participation rate among women, especially those aged between 25 and 39, had shown a slight decline, partly due to maternity commit
KUALA LUMPUR, May 1 — The government will introduce the Post-Maternity Leave Allowance as a progressive measure to support women’s participation in the workforce and reduce the stress faced by mothers after giving birth.
Prime Minister Datuk Seri Anwar Ibrahim said the initiative was introduced following findings that the labour force participation rate among women, especially those aged between 25 and 39, had shown a slight decline, partly due to maternity commitments.
He said the allowance would be introduced through an amendment to the Employment Insurance System Act 2017 and is aimed at providing additional financial support to mothers who needed longer time after maternity leave.
“The rationale is that we do not want mothers to feel forced to quit and leave the field of work after that, as has happened so far,” he said when delivering his message at the 2026 National Workers’ Day Celebration here today.
The Prime Minister, who is also the Finance Minister, said the allowance benefit would be set at 80 per cent of the monthly assumed salary for insured female workers, and would be paid in one lump sum (one-off).
“This allowance is financial assistance for additional leave of up to 30 days per month taken after the end of the 98-day maternity leave period,” he said, adding that the government is always committed to empowering women as the main driver of the country’s economic growth and social well-being.
Anwar said the initiative is expected to benefit more than 132,000 female workers nationwide.
According to the Employment Act 1955, every female worker in this country is entitled to enjoy 98 continuous days of maternity leave including rest days and public holidays.
Female workers are also eligible for maternity allowance if they work for at least 90 days in the nine months before giving birth, work for at least one day in the four months before giving birth and have fewer than five surviving children. — Bernama
A domestic worker has been arrested on suspicion of child abuse after allegedly putting her employer’s two toddlers in a dog cage on two occasions.
Hong Kong police emblem. Photo: Candice Chau/HKFP.
Police said they received a report on Tuesday from the children’s mother, who alleged that the Indonesian domestic worker had put the two boys, aged two and three years, in a dog cage on two separate occasions in February.
The mother said she saw the incident on surveillance footage broadca
A domestic worker has been arrested on suspicion of child abuse after allegedly putting her employer’s two toddlers in a dog cage on two occasions.
Hong Kong police emblem. Photo: Candice Chau/HKFP.
Police said they received a report on Tuesday from the children’s mother, who alleged that the Indonesian domestic worker had put the two boys, aged two and three years, in a dog cage on two separate occasions in February.
The mother said she saw the incident on surveillance footage broadcast to her mobile phone.
The 32-year-old domestic worker was arrested at a residential estate in Tsing Yi on Tuesday on suspicion of ill-treatment or neglect by those in charge of a child or young person.
The mother also reported the case to the worker’s employment agency before deciding to file a police report.
The case has been passed to the Kwai Tsing police crime unit for further investigation.
The two toddlers did not have any visible injuries and had been discharged from hospital after treatment, according to local media reports.
The mother – a single parent who has three boys and a dog – began hiring the domestic worker in mid-2023, local media reported, citing unnamed sources.
Call for regulation
In a statement emailed to the media on Wednesday, lawmaker Elaine Chik expressed concern about the case and called for strengthened early warning and prevention measures to combat child abuse.
She urged employers to prioritise hiring domestic workers with first aid training, nursing, or child psychology backgrounds, adding that hiring agencies should advise workers on managing stress when caring for infants.
Chik, a member of the Democratic Alliance for the Betterment and Progress of Hong Kong (DAB), also called on authorities to implement mandatory training on Hong Kong child protection laws and to look into establishing a regulatory authority to oversee standards for domestic workers.
The lawmaker also said she would bring up the incident at the Legislative Council and ask the government to provide follow-up measures for child abuse cases.
JAKARTA: Indonesia has passed a long-delayed law to protect domestic workers, marking a change after more than two decades of debate. The shift gives legal recognition to a workforce that has long operated without formal safeguards.
According to SBS News (April 24), the new move now affects more than 4 million domestic workers, 90% of whom are women, yet for years, they were not legally recognised as workers or covered by formal labour protections. This left them outside labour laws, exposed to
JAKARTA: Indonesia has passed a long-delayed law to protect domestic workers, marking a change after more than two decades of debate. The shift gives legal recognition to a workforce that has long operated without formal safeguards.
According to SBS News (April 24), the new move now affects more than 4 million domestic workers, 90% of whom are women, yet for years, they were not legally recognised as workers or covered by formal labour protections. This left them outside labour laws, exposed to abuse, and with little recourse when things went wrong.
That is now set to change. Under the new law, domestic workers will be entitled to rest days, health insurance, pensions and vocational training. It will also be illegal to hire children or allow employment agencies to deduct wages, practices activists say have been common.
Parliament’s approval drew applause in Jakarta. Law and Human Rights Minister Supratman Andi Agtas presented it as a step towards fairness, saying the new law sets out clearer protections while giving employers legal certainty. He also noted that President Prabowo Subianto had pushed for the bill to be completed, Channel NewsAsia (CNA) reports (April 21).
Regulators have now been given 12 months to finalise how the law will be enforced, including setting penalties for employers who breach the rules.
United Nations: “Around the world, domestic workers are undervalued, underprotected and underrepresented…”
UN High Commissioner for Human Rights Volker Türk praised Indonesia’s decision, describing it as a major step forward with historic significance. He said, “Around the world, domestic workers are undervalued, underprotected and underrepresented. This is an historic opportunity to turn the tables on this neglect and to protect, respect and honour their invaluable contribution to the welfare of so many people.”
The new law introduces several baseline protections for domestic workers
Domestic workers will now have access to training, as well as health and unemployment benefits. It also bans the hiring of anyone under 18, a notable change in a country where many leave school early.
There is still a wage gap as the law doesn’t set a minimum salary. Instead, the government has given itself 12 months to work out detailed rules, including penalties for violations, as without proper enforcement, laws can sit on paper while daily practices stay the same.
For many domestic workers, the law feels overdue
The bill first appeared in 2004. Since then, it has faced repeated delays. Advocacy groups kept pushing, arguing that domestic workers were invisible in the legal system despite their role in keeping households running.
One domestic worker described the moment as something that had taken over two decades to achieve, especially for women who had long been sidelined.
Jala PRT, a domestic workers’ rights group, called the law historic. Its coordinator, Lita Anggraini, said the law finally brings recognition to workers who had been ignored for years.
Abuse cases kept pressure on lawmakers to act
The urgency of the law is tied to real cases of abuse. Jala PRT recorded more than 3,300 abuse cases between 2021 and 2024. These ranged from physical harm to economic exploitation and even human trafficking.
One widely reported case in 2023 involved a young domestic worker in South Jakarta who suffered severe abuse. Several individuals were later jailed, with sentences of up to four years.
Cases like this kept the issue in public view and added pressure on lawmakers to act.
Stronger protections for domestic workers could shape expectations
For Singapore, Indonesia is also one of the main source countries of domestic helpers for the nation and across Southeast Asia.
Similar, stronger protections, like those enforced in Indonesia now, could shape expectations abroad as well. It may also influence future policy discussions on worker welfare, contracts, and employer responsibility.
At the same time, the law shows how long it can take to formalise protections for work that happens behind closed doors.
Rules on paper mean little without education and inspection
Currently, even supporters say passing the law is only the first step. Advocates stress that employers also need to understand their responsibilities. Public education will be crucial, as without it, the law risks becoming another rule that few follow.
There is also the question of enforcement because rules on paper mean little without inspections, reporting channels, and consequences. A law can change status overnight, but changing behaviours takes longer.
Nevertheless, this is a necessary reset, toward the finish line. The coming years will matter more than the last 22.
If the follow-up rules are strong and enforced, this could reshape how domestic work is treated across the region beyond Indonesia. Otherwise, it risks becoming just another symbolic win with limited impact.
Over the past decade, compensation for artificial intelligence (AI) professionals has surged at an unprecedented pace, reshaping the talent market and redefining what employers must offer to attract and retain top-tier technical talent. As companies across nearly every sector race to integrate machine learning, automation, and generative AI into their operations, the demand for skilled AI engineers, researchers, and product leaders has vastly outstripped supply. The result is a compensation envi
Over the past decade, compensation for artificial intelligence (AI) professionals has surged at an unprecedented pace, reshaping the talent market and redefining what employers must offer to attract and retain top-tier technical talent. As companies across nearly every sector race to integrate machine learning, automation, and generative AI into their operations, the demand for skilled AI engineers, researchers, and product leaders has vastly outstripped supply. The result is a compensation environment that is not only highly competitive, but increasingly aggressive.
What makes this shift especially striking is how rapidly it has accelerated. Even five years ago, AI roles commanded above-average compensation, but nowhere near the levels seen today. Now, seven-figure packages for senior AI experts are not only possible, they’re becoming increasingly common.
This surge is driven by a unique convergence of market forces: the explosion of generative AI capabilities, a shortage of qualified talent, escalating corporate reliance on AI strategy, and the emergence of new startup and investment ecosystems flush with capital. Together, these factors are pushing AI compensation to historic highs, with no signs of slowing down.
And of course, this article was written with the research assistance of AI.
The Talent Shortage Driving the Compensation Surge
AI is one of the few fields in which global demand massively exceeds global supply of qualified professionals. Only a small subset of software engineers possess the deep expertise required for advanced machine learning, reinforcement learning, natural language processing, and large-scale model development. Even fewer have hands-on experience with cutting-edge deep learning architectures or the ability to integrate foundation models into commercial products.
Companies are discovering that they are effectively competing for the same limited pool of elite talent. And that competition is fierce.
Here are a few key reasons AI talent is scarce:
AI research and engineering require advanced mathematical, algorithmic, and computational training.
Top-tier AI expertise is concentrated in a handful of universities and research labs.
Rapid technological change means experience becomes outdated quickly, raising the premium on continuous learners.
Many AI professionals gravitate toward startups or independent research labs rather than traditional corporate roles.
Immigration constraints limit access to global AI expertise in certain regions, especially the U.S.
This scarcity alone would elevate compensation, but the explosive commercial potential of AI has supercharged it.
Generative AI Has Reshaped the Compensation Landscape
The release of large-scale generative AI models has catalyzed a gold rush. Companies of all sizes now recognize that AI will determine competitive advantage in the coming decade. As firms shift from “AI experiments” to “AI strategy,” the urgency to hire expert talent has become acute.
Generative AI has created entirely new job categories, including:
Large Language Model (LLM) Engineers
Prompt Engineers and Prompt Architects
AI Product Managers and AI Strategy Leads
Applied AI Scientists
Multimodal AI Specialists
AI Safety and Alignment Researchers
Model Evaluation and Red Teaming Experts
AI Video Specialists
In many cases, these roles did not exist 18 months ago. Now, they are some of the highest-paying jobs in the technology sector.
Salaries Are Reaching Historic Highs
Compensation varies widely based on geography, seniority, company size, and specialization. But one trend is clear: AI salaries are increasing across the board, often dramatically.
Typical U.S. salary ranges for AI roles:
Machine Learning Engineer: $180,000–$350,000+ total compensation
Senior AI Scientist: $300,000–$600,000+
LLM Engineer or Generative AI Engineer: $400,000–$900,000+
AI Product Director: $350,000–$700,000+
Head of AI / VP of AI: $700,000–$2,000,000+
Distinguished AI Researcher at top tech firms: Often over $1 million, with equity packages that can reach multi-millions
And these figures do not account for extreme outliers—most notably the seven-figure offers made by OpenAI, Anthropic, Google DeepMind, Meta, and specialized hedge funds or trading firms.
Compensation for AI talent is highest in the Silicon Valley/San Francisco area, followed by New York and then Seattle.
Startups Are Offering Massive Equity Packages
AI startup funding is booming. Investors are pouring billions into companies developing foundation models, AI infrastructure, and vertical AI applications. With capital plentiful and competition intense, startups are offering generous equity to lure experienced AI hires away from Big Tech.
What startups are offering:
Sign-on equity that may exceed 0.5–2% of the company for early senior hires
Better vesting schedules (e.g., no cliff vesting, shorter vest cycles)
Performance-based equity refreshers
Access to secondary liquidity opportunities as they become available
Hybrid cash/equity compensation at levels competitive with major tech companies
For highly specialized engineers, particularly those with LLM or multimodal model experience, equity stakes can be extremely significant.
The big players are stepping up as well. In late 2025, OpenAI’s average stock compensation reportedly reached $1.5 million per employee for its 4000 person workforce.
Non-Tech Companies Are Entering the Bidding War
AI is no longer limited to technology firms. Industries such as healthcare, finance, manufacturing, retail, defense, and media all have aggressive AI build-out strategies. This has expanded the competition for talent beyond Silicon Valley, creating upward pressure on compensation.
For example:
Financial institutions are recruiting AI specialists for algorithmic trading and risk modeling.
Healthcare companies need AI leaders for diagnostics, drug discovery, and patient management systems.
Traditional industrial firms are hiring machine learning engineers to optimize robotics, forecasting, and supply chain operations.
These companies often have substantial cash reserves, enabling them to offer compelling salary packages more commonly associated with Big Tech.
Remote Work Has Globalized the AI Salary Market
Remote-first hiring has created a global bidding environment. Companies that once paid lower regional salaries are now forced to match global standards—especially when competing against deep-pocketed AI enterprises and venture-backed startups.
As a result:
Compensation is rising across Europe, Latin America, India, and Southeast Asia.
Remote AI contractors in lower-cost countries are sometimes commanding Silicon Valley–level pay.
Employers can no longer rely on geographic arbitrage to meaningfully cut costs.
This globalization has further driven compensation upward.
Retention Packages Are Becoming More Aggressive
As poaching becomes rampant, companies are creating elaborate retention structures, including:
Annual equity refresh grants
Retention bonuses tied to multi-year milestones
Stay bonuses during M&A or restructuring
Accelerated equity vesting for high performers
Companies recognize that replacing a senior AI engineer or researcher is extremely costly, and often impossible in the short term.
What This Means for Employers
Companies should expect:
Longer search timelines for AI roles
Substantially higher compensation budgets
The need for flexible, customized packages
Aggressive competition from startups and Big Tech
Ongoing retention challenges
Organizations that fail to invest in AI talent will struggle to compete strategically, technologically, and operationally.
What This Means for AI Professionals
For employees, the moment is historic. AI expertise, especially in LLMs, applied machine learning, infrastructure, safety, and AI product design, is one of the most valuable skill sets in the global economy.
Professionals should:
Negotiate assertively
Evaluate total comp (salary, bonus, equity, benefits)
Secure severance and change-in-control protections
Understand equity liquidity options
Consider both Big Tech stability and startup upside
Those with the right skills can expect strong compensation growth for the foreseeable future.
How AI Employees Can Negotiate High-Value Compensation Packages
This section outlines the most important strategies, components, and negotiation techniques AI employees can use to maximize compensation and secure long-term professional protection.
1. Evaluate Total Compensation, Not Just Salary
A common mistake candidates make is focusing on base salary alone. In AI roles—especially at high-growth startups—base salary may not be the most important part of the package.
AI employees should evaluate:
Base salary
Annual bonuses or performance incentives
Equity grants
Retention or milestone bonuses
Equity refresh cycles
Severance protections
Change-in-control payments
Total compensation packages in AI can vary by hundreds of thousands of dollars depending on equity and incentives, making it essential to evaluate the full structure.
2. Negotiate Equity—It’s Often the Most Valuable Component
AI startups and AI-first public companies rely heavily on equity to attract top-tier talent. But equity terms are nuanced and highly negotiable.
Key equity terms you should negotiate:
Size of the grant (expressed as % ownership or # of shares)
Equity type (options vs. RSUs)
Vesting schedule (you can ask for shorter vesting schedules and no cliff vesting)
Acceleration triggers (single- vs. double-trigger vesting)
Windows to exercise options after leaving the company (traditionally 90 days but you can request one year)
Ability to participate in secondary sales
A single percentage point of equity at a strong AI startup can be worth millions of dollars in a successful exit. Do not underestimate your ability to negotiate this component.
Pro tip: Ask for your equity in terms of percentage ownership, not number of shares. This forces companies to reveal the fully diluted share count.
3. Push for Clear and Achievable Bonus Structures
AI work is often tied to quantifiable outcomes: model accuracy, latency improvements, deployment milestones, or product releases. This makes it easier to negotiate objective bonus structures, rather than subjective or discretionary ones.
You can negotiate:
A signing bonus
A target bonus (often 20–50% of salary for senior roles)
A guaranteed minimum first-year bonus
Objective, measurable performance metrics
A clear timeline for bonus evaluation
Eligibility for multi-year performance awards
4. Benefits and Perks
Beyond salary and bonuses, benefits protect well-being and support work-life integration—particularly important for senior leaders.
Benefits can include:
Comprehensive health, dental, vision, life, and disability insurance
Retirement plans such as 401(k) with employer match and pension enhancements.
Vacation, sick leave, and paid time off accruals with carry-over provisions on termination.
Relocation assistance, travel allowances, and technology stipends.
Parental leave
5. Secure Strong Severance and Termination Protections
Given the velocity of change in AI—funding cycles, pivots, acquisitions, and leadership turnover, severance protections are essential. They are highly negotiable for AI professionals.
Negotiate for:
3–12 months of salary severance pay if fired without cause, together with 3-12 months of target bonus
Continuation of benefits or COBRA during the severance period
Accelerated vesting of equity upon termination without cause
Severance triggers if your role changes materially
Limit the “cause” definition– you want to avoid broad definitions of being terminated for “cause” to avoid losing out on severance
Mutual releases of liability and mutual non-disparagement clauses in the event of termination without cause
Many AI companies do not offer severance by default, but will add it if asked by a senior or highly valuable hire.
6. Leverage Competing Offers Strategically
AI employees who interview with multiple companies often have dramatically better outcomes. Even one additional offer can significantly increase your negotiation leverage.
Tips for handling competing offers:
Never bluff—only leverage real offers.
Share general ranges, not exact numbers (“my other offer is in the ~$500K range”).
Emphasize fit and culture, not financial extraction.
Allow employers to “revise” offers rather than demanding increases.
Companies expect AI talent to be in high demand. You should expect and encourage competition.
7. Protect Yourself from Liability
AI work often includes high-stakes systems, regulatory exposure, or sensitive data. Professionals should negotiate strong protections.
Indemnification for work done within the scope of your role
Reasonable limits on personal liability
AI professionals involved in model development, compliance, or safety can insist on explicit liability protection.
8. Remote Work and Flexible Arrangements Are Negotiable
AI talent is global, and many companies are remote-first. If location flexibility matters to you, negotiate it early.
You can request:
Fully remote work
Hybrid flexibility (e.g., two days in the office each week)
Home office stipends
Relocation packages, if required
Adjustments for time-zone differences
Given how scarce AI talent is, many companies will accommodate flexibility for the right candidate.
9. Consider Other Important Issues
Here are some additional important issues to consider when negotiating an employment contract or offer letter:
Avoid any non-compete clauses that would hinder you from finding a new AI job. In some states like California, those are for the most part unenforceable anyway
If there is a dispute with your employer, you will likely want the matter to be resolved by confidential binding arbitration to avoid lengthy and costly litigation
Make sure you are not taking any documents or confidential information from your old employer– this can lead to expensive and embarrassing litigation
Get any oral promises made to you in writing as part of your employment agreement or offer letter
Carefully review the terms of any rights of repurchase on equity, right of first refusal, and company buy-back terms, which could limit the value of your equity
10. Work with an Attorney or Advisor for Complex Packages
AI compensation packages, especially those involving equity, are increasingly complex. Understanding tax implications, vesting schedules, and contract terms often requires professional review.
An attorney or advisor can help you:
Interpret equity and vesting terms
Understand company cap tables
Identify red flags in employment contracts
Strengthen negotiation positions
Include protective contract terms
A modest legal investment can protect hundreds of thousands—and sometimes millions—of dollars in future compensation. And sometimes you can negotiate for the company to reimburse your reasonable legal fees incurred.
Conclusion on Compensation for AI Employees
AI employees today are in a uniquely powerful negotiating position. Compensation is skyrocketing. Companies are racing to hire scarce talent, and the strategic importance of AI expertise has never been higher. By approaching negotiations with clarity, confidence, and a deep understanding of total compensation, AI professionals can secure packages that reflect both their current value and their long-term contribution.
In an era defined by rapid innovation and intense competition, negotiating well is not just a financial decision, it’s a strategic career move.
A first group of healthcare workers is returning to Cuba today after completing their mission, following the Guatemalan government's announcement of the phased end of the current bilateral agreement
A first group of healthcare workers is returning to Cuba today after completing their mission, following the Guatemalan government's announcement of the phased end of the current bilateral agreement
Recycling helps cut down on waste and lets valuable materials be used again. It reduces the need to mine or extract new resources and keeps materials out of landfills, which lowers the greenhouse gases that cause climate change. But recycling is more than just a process; it’s also a job. Learning how material recovery facilities work and what workers deal with every day can help you recycle smarter and keep these essential workers safe.
Recycling centers, known as material recovery facilities (M
Recycling helps cut down on waste and lets valuable materials be used again. It reduces the need to mine or extract new resources and keeps materials out of landfills, which lowers the greenhouse gases that cause climate change. But recycling is more than just a process; it’s also a job. Learning how material recovery facilities work and what workers deal with every day can help you recycle smarter and keep these essential workers safe.
Recycling centers, known as material recovery facilities (MRFs), must be profitable, efficient, and safe to stay open and attract good workers. Protecting workers also helps keep costs down, since replacing someone who is injured or burned out is expensive. Representatives from two major waste companies, Rumpke and Waste Management, said that employee safety is their top priority at MRFs, followed closely by keeping the machines running.
Even with these efforts, nine workers died in U.S. material recovery facilities in 2023. The fatality rate for refuse and recycling collectors rose by more than 80% that year, according to the Bureau of Labor Statistics. This made waste and recycling collection the fourth most dangerous job in the country, after roofers, fishing and hunting workers, and logging workers. Many injuries and deaths are caused by items that should never have been put in a recycling bin.
What Protects Workers on the Floor
MRFs are noisy, dusty, and the work is physically tough. Temperatures inside can change a lot depending on the weather. To stay safe, all workers wear steel-toed boots and high-visibility vests or coats. Hard hats are required whenever workers move through the large sorting buildings.
Many workers wear puncture-resistant gloves, sometimes long enough to cover their forearms, because needlestick injuries happen often. A 2018 study by the Environmental Research & Education Foundation found that 45% of MRF injuries were caused by needlesticks, even though syringes and medical sharps are not allowed in curbside recycling. Make sure to learn how to safely dispose of medical sharps so they never end up in the recycling stream.
All employees get safety training when they are hired, and they receive updates whenever recycling rules change. Managers and supervisors get extra emergency response training, especially because battery fires are becoming more common.
Equipment operators and maintenance workers must be certified to use the machines. When equipment needs repairs, a strict lock out/tag out process makes sure machines cannot restart while someone is working on them.
The Biggest New Threat: Lithium-Ion Battery Fires
The most dangerous thing you can put in your recycling bin is not broken glass or rusty metal. It’s a lithium-ion battery. When these batteries are shaken, crushed, or punctured during collection and sorting, they can go into what the industry calls “thermal runaway,” which releases intense heat and can quickly set nearby paper and plastic on fire.
The National Waste and Recycling Association estimates that over 5,000 fires happen each year at recycling facilities, and many are linked to lithium-ion batteries. Publicly reported fires at MRFs and transfer stations rose by 20% in 2024 compared to the year before, reaching the highest level ever, according to fire detection firm Fire Rover. Fire data for 2025 shows a record 448 reported incidents across North America, and the real number is likely higher since many smaller fires are not reported.
A small fire at an MRF costs about $2,600 on average, but a major fire can destroy a whole facility and cause more than $50 million in damage. In 2021, a battery fire destroyed a transfer station in Klamath Falls, Oregon, causing over $3 million in damage and shutting down the facility for two years. This disrupted recycling collection across the region. The rate of major MRF fire losses has gone up by 41% in the last five years.
A growing problem is disposable vaping devices. These vapes have lithium-ion batteries and there are almost no safe drop-off options in the U.S. About 1.2 billion vapes end up in the waste and recycling stream each year, and throwing them in the trash or recycling bin makes the fire risk much worse.
Never put batteries in the recycling bin.
How Sorting Actually Works
When a truck brings curbside recycling to an MRF, it is dumped onto the tipping floor. Workers first remove anything that clearly does not belong. Over the years, they have found things like dead deer, bowling balls, and full-size vacuums. None of these should be in recycling.
After the first sort, heavy equipment operators and workers with large shovels load the materials onto conveyor belts that go into the automated sorting system. Workers stand along the belts to catch items the machines cannot handle. The machines use spinning screens to separate paper and cardboard, magnets to pull out steel, optical scanners and infrared sensors to identify different plastics, and air jets to separate lightweight materials. Glass falls out on its own because it is heavier.
Even though machines do more of the sorting now, people are still needed for quality control. Computers cannot catch everything. After materials are sorted by type, a baler presses them into large bales. Workers check these bales before they are stacked and shipped to manufacturers who use the materials.
Besides sorting, MRF jobs include machine technicians, maintenance workers, equipment operators, foremen, and housekeeping staff who keep walkways clear to prevent trips and reduce dangerous dust.
What You Do At Home Changes Everything
No two MRFs are exactly the same. They use different equipment and have different buyers for the materials they sort. This is why even nearby communities might not accept the same items for recycling. It can be confusing, but it is very important.
Anything that does not belong in the recycling stream takes extra time to remove and increases risks for workers. Plastic bags and plastic film get tangled around spinning machine parts and can stop the whole sorting line. Shredded paper clogs screens and causes costly shutdowns. When a machine jams, a worker has to climb inside to fix it, which takes time and is truly dangerous.
Here are the easiest ways you can help keep recycling workers safe:
Do not put batteries in your curbside recycling or trash. Take them to a retail collection site instead.
Keep plastic bags out of your recycling bin. Bring them back to grocery store drop-off locations.
Do not put something in the recycling bin just because you hope it is recyclable. If you are not sure, check Earth911’s recycling search or your local guidelines. When in doubt, leave it out.
Never put medical sharps in the recycling bin. Use a sharps disposal program or a drop-off location instead.
Knowing what belongs in your recycling bin is not just good for the environment. It is also how you help protect the workers who do one of the hardest and most dangerous jobs in the sustainability field.
Editor’s Notes: Originally published March 29, 2022. Updated February 2023. Updated March 2026.
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