🤖 AI Summary
記事は、技術分野で経験豊富な50歳以上の労働者が、職を失った後、AIモデルのトレーニングに転身している現状について報告しています。彼らが行う「データアノテーション」という作業は、医療や金融などの分野で専門知識を持つ労働者たちは、AIモデルに対する質問への回答を評価し、誤ったまたは危険な回答を指摘することで行われます。最終的には、AIモデルが人間と同じように仕事ができるまでに向上させます。
これらの会社(Mercor, GlobalLogic, TEKsystems, micro1, Alignerrなど)は、テクノロジー大手企業や学術研究者、保健医療業界などを顧客としており、経験豊富な専門家にとっては、時給180ドルを超える高収入が見込めますが、これは限られたケースのみです。特に年齢の高い労働者にとって、これは退職前の生活費を維持するための最後の手段となっています。
AIトレーニングは、柔軟性や即時の収入、知的刺激がある一方で、多くの従来の職種と比べると給料が低く、不確定な労働時間であり、福利厚生も提供されないことが一般的です。教育者、医師、弁護士など様々な専門分野から退職した労働者は、「橋渡し仕事」としてAIトレーニングに転身している実態が浮かび上がっています。
この記事は、年齢制限の厳しい現代の雇用市場の中で、経験豊富な労働者がAIトレーニングを通じて新しいキャリアを見つける試みを示しています。
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.