🤖 AI Summary
記事は、50歳以上の中高年技術者が就職難を経験した後、人工知能(AI)トレーニングという新たな仕事に携わっていることを紹介しています。データアノテーションという作業では、AIモデルの訓練に必要な情報(たとえばチャットボットや医療に関する質問への回答)をラベル付けしたり評価したりします。専門知識を持っている人たちは、医師などとしてAIモデルが正しく答えているかチェックし、不適切な回答を指摘し修正する役割を果たします。
このようなトレーニングは短期間の契約ベースであり、安定性がなく福利厚生も伴わないことがあります。しかし、プロフェッショナルな分野からの年収六桁超えの給与や保険制度がない一方で、AIトレーナーとして働くことは柔軟性があり、すぐに金銭的な利益を得られるだけでなく、知識を活かせるという利点があります。
さらに記事は、厳しい求人市場で高齢者の再就職が難しくなる中、AIトレーニングは「ブリッジジョブ」として役立つ可能性があると指摘しています。しかし、それでも年収や福利厚生面では従来の専門的な仕事とは大きく異なる状況となっています。
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.