Generalist AI Trainer at AI Startup

Remote Full-time
Lightly AG is a Zurich-based AI company and ETH/HSG spin-off, backed by Y Combinator and top-tier investors. Our machine learning and computer vision technology is trusted by global leaders in autonomous driving, medical imaging, and visual inspection.

As we push the boundaries of what AI can do, we need sharp, curious people to help us make it better. We're looking for Generalist AI Trainers to join us on a part-time contractor basis — no technical background required, just strong judgment, clear thinking, and an eye for quality.

The minimum expected time commitment is 10 hours/week.

Tasks

What you'll be doing

Review and rate AI-generated responses for quality, accuracy, and helpfulness

Write prompts, questions, and example conversations to help train the model

Compare pairs of AI responses and select the better one based on clear criteria

Follow detailed instructions to complete structured evaluation tasks

Flag problematic or incorrect outputs and explain what's wrong and why

Occasionally research topics to verify whether AI responses are factually sound

Requirements

What we're looking for

Strong written English communication skills — you can express your reasoning clearly and concisely

Sharp attention to detail and consistent judgment across repetitive tasks

Ability to work independently, manage your own time, and meet deadlines

Comfortable with ambiguity — not every task has a clear-cut answer

Reliable internet connection and a quiet working environment

Availability for at least 10 hours/week on a flexible schedule

Nice to have

Background in any domain is welcome — we are actively upgrading our skillsets and our offerings

Experience with AI tools, data annotation, or content evaluation

Fluency in additional languages beyond English

Benefits

Competitive compensation tailored to experience and scope of work

Send us your CV along with a brief note about yourself. If you've done similar work before — evaluating AI outputs, annotation, content review, or anything adjacent — we'd love to hear specific examples.

We look forward to hearing from you!

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