Remote AI Content Evaluator - Flexible, Detail-Oriented

Scale AI; Port Coquitlam; Remote; CAD 29,000 - 41,000; Part time

Job summary

Outlier is seeking detail-oriented English speakers to help train AI models via live conversations and structured evaluations. This freelance, remote role offers flexible hours and requires strong communication skills and rigorous attention to detail.

You will rate AI voice interactions, compare multimedia outputs, and provide concise, evidence-based explanations. Training and onboarding are part of the process, with earnings tied to core project work and possible incentives.

Qualifications

• Fluent English with clear written communication.
• Pursuing or holding a Bachelor’s degree or above.
• Strong attention to detail and patience to replay or zoom in when something seems off.
• Comfortable thinking on your feet and talking through realistic situations.
• Experience writing short, evidence-based explanations or reviews.
• Able to make a clear decision when both options have flaws.

Responsibilities

• Hold live, scenario-based conversations in English with AI voice models and rate naturalness, usefulness, and clarity.
• Compare pairs of AI-generated images and videos and judge adherence to the prompt.
• Inspect outputs closely to spot issues like distorted anatomy, flickering, or mismatched audio.
• Provide written explanations in English detailing observations and rationale.

Skills

Fluent English

Bachelor’s degree

Attention to detail

Think on your feet

Evidence-based explanations

Clear decision making

Education

Bachelor’s degree or above

Job description

Outlier is seeking detail-oriented English speakers to help train AI models via live conversations and structured evaluations. This freelance, remote role offers flexible hours and requires strong communication skills and rigorous attention to detail.

You will rate AI voice interactions, compare multimedia outputs, and provide concise, evidence-based explanations. Training and onboarding are part of the process, with earnings tied to core project work and possible incentives.