🤖 AI Summary
高齢の専門職労働者が人工知能（AI）トレーニングに従事することで就労機会を確保しようとしている状況について、以下の要旨を日本語でまとめます。
1. **背景**：技術分野での求人が減少し、高齢の専門職労働者がAIトレーニングという新たな仕事に転向しています。データ注釈と呼ばれるこの作業は、AIモデルが医療問題を正しく回答できるように訓練する作業を含みます。
2. **企業**: Mercor、GlobalLogic、TEKsystems、micro1、Alignerrなどの会社が大型のコンサルタントネットワークを運営し、テクノロジー大手や学術研究者、医療・金融など多様な業界から依頼を受けている。
3. **労働条件**：経験豊富な専門職は時給20ドルから180ドル以上までのAIトレーニング契約を手に入れることもでき、柔軟性と収入を得ることができます。しかし、これは通常六桁の給与や福利厚生が付く元の仕事とは比べ物にならない低賃金であり、不定期な働き方で福利厚生もありません。
4. **動機**：労働市場の厳しさにより、高齢の専門職労働者たちはAIトレーニングが「橋渡し」となりました。これは既存の仕事を失った場合の一時的な代替策や副業でもあります。
5. **教授の見解**：テキサスA&M大学のジョアンナ・ラヘイ准教授は、「橋渡し」と呼ばれる低賃金で手薄な仕事は労働者を高齢まで雇用を続けるのに役立つと指摘しています。AIトレーニングはそのような代替策よりも良い面もあると言います。
6. **結論**：AIトレーニングは専門知識を活かしながら、経済的に生き延びるための手段として、高齢の専門職労働者が選択していますが、長期的には元の仕事を失う可能性がある実態も理解しておくことが重要です。
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.
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