AI Quality Reviewer & Multilingual Content Evaluator

LILT (Production); United States; Remote; USD 34,000 - 55,000; Full time

Benefits offered by this job

Flexible schedule

Competitive rates

Meaningful projects

Global linguist community

Career growth

Recognition for great work

Engaging work you love

Job summary

LILT invites detail-oriented reviewers to join as an independent contractor to support a range of AI training and evaluation projects, applying local cultural context to prompts, outputs, and content across text and multimedia.

You will deliver concise annotations, assess and generate content when needed, identify issues such as translation errors or cultural mismatches, and follow guidelines to ensure quality and calibrated scoring.

Qualifications

• Native fluency in the target language.
• Strong command of English.
• Experience as AI reviewer, annotator, or evaluator preferred.
• Comfortable working with both textual and audio/video materials.
• Ability to follow detailed guidelines consistently and provide clear feedback.
• High attention to detail and ability to thoroughly and accurately categorize content.

Responsibilities

• Generate original content or assess AI-generated outputs.
• Deliver culturally relevant and appropriate content using local insights into tone and market fit.
• Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches.
• Provide concise, structured annotations for model improvement.
• Apply evaluation guidelines and participate in calibration and QA processes to ensure aligned scoring and judgment standards.

Skills

Native fluency

Strong English

AI reviewer

Text & audio/video

Guideline adherence

Attention to detail

Job description

LILT invites detail-oriented reviewers to join as an independent contractor to support a range of AI training and evaluation projects, applying local cultural context to prompts, outputs, and content across text and multimedia.

You will deliver concise annotations, assess and generate content when needed, identify issues such as translation errors or cultural mismatches, and follow guidelines to ensure quality and calibrated scoring.