Remote AI Output Reviewer — Flexible, Detail‑Oriented QA

Outlier; Jackson (MS); Híbrido; USD 15 000 - 25 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Free access to leading LLMs

Flexible hours

Resumo da oferta

Outlier is seeking detail-oriented English speakers to review AI-generated media. You will roleplay live conversations with an AI voice model, rate how well outputs follow prompts, and explain in writing what looked or sounded off. This remote role offers flexible hours and weekly payments.

You’ll contribute to improving AI systems by providing precise evaluations and feedback. Ideal candidates are fluent in English, with sharp attention to detail and the ability to articulate evidence-based

Qualificações

• Fluent English with clear written communication.
• Strong attention to detail, ability to replay or zoom in on content.
• Experience writing concise, evidence-based explanations or reviews.
• Comfortable making decisions when both options have flaws.

Responsabilidades

• Hold live conversations with AI voice models and rank naturalness and clarity.
• Compare AI-generated images and videos and judge adherence to prompts.
• Inspect outputs closely for distortions, glitches, or misalignment and explain findings in writing.
• Provide written explanations referencing observed issues in English.

Conhecimentos

Fluent English

Strong written communication

Detail-oriented

Ability to explain explanations

Comfortable with live conversations

Formação académica

Bachelor’s degree or above

Descrição da oferta de emprego

Outlier is seeking detail-oriented English speakers to review AI-generated media. You will roleplay live conversations with an AI voice model, rate how well outputs follow prompts, and explain in writing what looked or sounded off. This remote role offers flexible hours and weekly payments.

You’ll contribute to improving AI systems by providing precise evaluations and feedback. Ideal candidates are fluent in English, with sharp attention to detail and the ability to articulate evidence-based