🤖 AI Summary
タイトル:専門知識を持つ高齢者がAIトレーニングに進出
記事によると、50歳以上の高度な技術者たちが困難を抱えながらも自分の分野で働くことが難しくなり、代わりに人工知能(AI)のトレーニングを行うことを選択しています。彼らはデータ注釈という作業を行い、医療や金融などの専門知識を持つ人物はAIモデルが医療質問にどのように答えているかを評価し、間違った答えや不適切な回答を指摘して修正する役割を担います。
企業としてはMercor, GlobalLogic, TEKsystems, micro1, Alignerrなどがあり、これらのクライアントはOpenAI, Google, Metaなどの大手テック企業や学術研究者から、医療や金融分野の専門家まで広範囲にわたっています。経験豊富な専門家の場合は、時給180ドルを越える高収入も見込めますが、多くの高齢者はこの仕事を「最後の砦」として捉えています。厳しい労働市場の中で雇用保全や再就職が難しくなる中で、彼らはAIトレーニングという新たな「ブリッジジョブ」を選択しています。
一方で、AIトレーニングには安定性がないことと低賃金であることから、専門家たちは六桁の高収入と福利厚生が付く通常の仕事に比べると明確なダウンサイドがあることも理解しています。しかし、その一方で柔軟性や迅速な収入、そして知的刺激を得ることができるという利点もあります。
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.