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Career StrategyBeginnerGuide

Apply to AI-adjacent roles

Look into roles like AI trainer, evaluator, operations support, and other entry points that build relevant experience.

60 min10xCareer Team

Choose your training style

Pick the format that matches the level of support you want.

Self-pacedAvailable

Self-paced

Start immediately and work through the training on your own schedule.

Free
Human trainerComing soon

Human trainer

Join a guided cohort or workshop format when live delivery is available.

$99

Guided by an instructor

AI trainerComing soon

AI trainer

Practice with an AI-guided trainer experience tailored to the course topic.

$9

Personalized guidance

Overview

You don't need to be an engineer to work in AI. A growing number of roles need people who understand AI but bring other skills — writing, domain expertise, operations, quality assurance.

Roles covered

  • AI Trainer / Data Annotator — Teach AI models by providing examples and corrections
  • AI Evaluator / QA — Test AI outputs for accuracy, bias, and quality
  • Prompt Engineer — Write and optimize prompts for production AI systems
  • AI Operations — Manage AI tool deployments, monitor performance
  • AI Product Manager — Bridge between technical AI teams and business needs
  • AI Content Strategist — Create content for AI products and documentation

What you'll do

  1. Assess which AI-adjacent roles match your existing skills
  2. Identify the 2-3 skills gaps you need to close
  3. Build a targeted portfolio piece for your chosen role
  4. Find and apply to 5 relevant positions

Why this matters

The best way to learn AI is to work in AI. These roles are the on-ramp.