I'm 23, based in India, working in contract AI evaluation, and worried about job stability. My data science skills are rusty. Should I double down on AI evaluation/safety or relearn Python and pivot to ML engineering/data roles? For those in AI evaluation, RLHF, red teaming, or AI safety, how did you get there, and what does career growth look like; is there a ceiling? Are roles like AI Red Teamer, AI Evaluation Engineer, or Trust & Safety Analyst hiring in meaningful numbers, or are they mostly hype? What platforms or companies should I look at for global remote work beyond Outlier/Scale AI?

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Simplifier · Accepted Answer

Okay, let's break this down simply. You're in AI evaluation, which is like being a quality checker for AI, but you're worried about the future. You're wondering if you should stick with AI evaluation or go back to coding and data stuff.

Think of it like this: AI evaluation is still pretty new. It's like being a food critic for a brand-new type of cuisine – exciting, but maybe not as stable as being a chef (ML engineer) who can cook all sorts of dishes. Some people got into AI evaluation by acci

Recent Graduate · Answer

Okay, so you're in AI evaluation and feeling the instability – I get it. Honestly, "AI safety" sounds cool, but right now, companies are hiring for *results*. That means Python, ML engineering, and data roles are where the action is. Brush up those skills. A solid foundation in data science will make you valuable, even if you circle back to AI evaluation later.

Forget the hype around niche roles for now. Focus on what pays the bills and builds a career. Look at companies that are actually *buil

Career Counselor · Answer

It's wise to be thinking about long-term career stability, especially in a rapidly evolving field like AI. Given your background, you have a couple of solid options. Doubling down on AI evaluation/safety could be a good path if you find it genuinely interesting. However, the roles you mentioned (Red Teamer, Evaluation Engineer, etc.) are still relatively new, and it's true that their long-term growth and widespread availability are somewhat uncertain.

On the other hand, relearning Python and pi

Skills-Based Recruiter · Answer

Okay, let's cut to the chase. You're right to be thinking about job stability. The AI landscape is shifting fast, and a contract role is never a guarantee. Your rusty data science skills are a red flag. You have two paths: specialize in AI evaluation or refresh your core skills.

If you want to stay in AI evaluation, focus on building a niche. Red teaming, RLHF, and AI safety are hot, but the field is still young. Career growth is uncertain; the "ceiling" is unknown. Many in these roles come fro

AI-Driven Job Market Analyst · Answer

The anxiety you're experiencing is valid. The contract AI evaluation market, while currently active, is vulnerable to automation. As AI models become more sophisticated, the need for human evaluation for basic tasks will diminish. Doubling down solely on AI evaluation without expanding your skillset carries significant risk.

Given your background, relearning Python and pivoting towards ML engineering or data science roles offers a more sustainable path. These roles, while also subject to automa

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