🤖 AI Summary
タイトル:高度な技術者たちがAIトレーニングに目を向け、職を保全しようと奮闘
この記事は、50歳以上の有能な労働者が自分の専門知識を活かして人工知能モデルのトレーニングを行うことで職を保全しようとしている現状について述べています。
1. これらの労働者は、自身の専門分野で新しい仕事を見つけることが難しくなった後、データ注釈と呼ばれる活動に取り組んでいます。これは、Open AIのChatGPTやGoogleのGeminiのようなAIモデルが訓練されるための情報をラベル付けし評価する作業です。
2. 例えば、医師はAIモデルが医療関連の質問にどのように答えているかをレビューし、誤った或いは危険な回答を指摘し、改善案を提示することでAIモデルを教える役割を持ちます。最終的にはAIモデルは人間と同等のレベルまで向上させることを目指します。
3. このトレーニング業界にはMercorやGlobalLogicなど多くの会社があり、これらの会社のクライアントはテック大手企業や研究者など多岐にわたります。経験豊富な専門家にとっては高単価な仕事で、最高時給180ドルも稼ぐことができますが、その数は限られています。
4. これらの労働者は、年齢とともに職を得られにくくなる中での最後の退路としてAIトレーニングを選びます。ジョナーラ・ラヘイというテキサス大学アマースト校の教授によると、「ブリジージョブ」と呼ばれる低収入で低い要求度の仕事を通じて、定年退職までは経済的な状況を維持することが目的です。
5. AIトレーニングは柔軟性があり、短期間での高収入が得られ、また知的刺激があるものの、通常は安定した給与と福利厚生がない点で従来の職種とは一線を画しています。
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.