🤖 AI Summary
この記事は、高齢の技術者たちが人工知能（AI）トレーニングに取り組む傾向について述べています。記事によると、5人の50歳以上の専門職の人々は、自分の分野で働くのが難しくなった後、AIモデルを訓練する作業に転身しました。この作業には「データ注釈」と呼ばれるものがあり、実際には人工知能モデルが正しく回答できるように情報をラベル付けし評価する作業です（例：医師はAIモデルが医療質問にどのように回答しているかを確認して誤った回答や危険な回答を指摘し改善案を提案します）。訓練の最終目標は、AIモデルを人間と同等の能力を持つものにするまでレベルアップさせるということです。
このトレーニング作業は、テクノロジー大手企業（OpenAI、Googleなど）、学術研究者、医療や金融などの分野で行われています。経験豊富な専門家にとっては、トレーニング契約はサイドビジネスや失業後の一時的な避難先となり、場合によっては1時間あたり180ドル以上を稼ぐことも可能です。
しかし、この作業はしばしば低賃金で労働条件が不確実な「ブリッジジョブ」に代わるものです。専門職の人々は通常、六桁の給与を得ることができますが、AIトレーニングでは時給20ドルから40ドル、特定の分野での知識を持つトレーナーは時給100ドル以上を稼ぐこともあります。
文章の要旨：
- 高齢の技術者が自己分野での求人が減少した後、AIモデルの訓練に従事
- この作業は「データ注釈」と呼ばれ、情報のラベル付けと評価を行う
- トレーニングの最終目標はAIモデルを人間と同じレベルまで向上させる
- 賃金が低く労働条件が不安定なため、「ブリッジジョブ」になり得る
An anonymous reader quotes a report from the Guardian: [Five skilled workers aged 50 and older spoke] to the Guardian about how, after struggling to find work in their fields, they have turned to an emerging and growing category of work: using their expertise to train artificial intelligence models. Known as data annotation, the work involves labeling and evaluating the information used to train AI models like Open AI's ChatGPT or Google's Gemini. A doctor, for example, might review how an AI model answers medical questions to flag incorrect or unsafe responses and suggest better ones, helping the system learn how to generate more accurate and reliable responses. The ultimate goal of training is to level up AI models until they're capable of doing a job as well as a human could -- meaning they could someday replace some of these human workers.
The companies behind AI training, such as Mercor, GlobalLogic, TEKsystems, micro1 and Alignerr, operate large contractor networks staffed by people like Ciriello. Their clients include tech giants like OpenAI, Google and Meta, academic researchers and industries including healthcare and finance. For experienced professionals, AI training contracts can be a side hustle -- or a temporary fallback following a layoff -- where top experts can, in some cases, earn over $180 an hour. But that's on the high end. For some older workers [...], it represents another thing entirely: a last refuge in a brutal job market that is harder to stay in, or re-enter, the older they get. For many of them, whether or not they're training their AI replacements in their professions is besides the point. They need the work now.
[...] "There's just a lot of desperation out there," Johnson said. As opportunities narrow, many turn to what Joanna Lahey, a professor at Texas A&M University who studies age discrimination and labor outcomes, calls "bridge jobs" -- lower-paying, less demanding roles that help workers stay financially afloat as they approach retirement. Historically, that meant taking temp assignments, retail and fast-food work and gig roles like Uber and food delivery. Now, for skilled workers -- engineers, lawyers, nurses or designers, for example -- using their expertise for AI data training is becoming the new bridge job. "[AI] training work may be better in some ways than those earlier alternatives," Lahey told the Guardian.
AI training can offer flexibility, quick income and intellectual engagement. But it's often a clear step down. Professionals in fields such as software development, medicine or finance typically earn six-figure salaries that come with benefits and paid leave, according to the US Bureau of Labor Statistics. According to online job postings, AI training gigs start at $20 an hour, with pay increasing to between $30 and $40 an hour. In some cases, AI trainers with coveted subject matter expertise can earn over $100 an hour. AI training is contract-based, though, meaning the pay and hours are unstable, and it often doesn't come with benefits.
Read more of this story at Slashdot.
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