01
Search Quality Rater
Evaluates whether search results satisfy a user's query, intent, language, and location. The work often follows detailed quality and relevance guidelines.
Typical tasks
- Judge relevance and usefulness
- Identify low-quality or misleading pages
- Apply locale-specific guidelines
Good fit for
Web research, cultural knowledge, analytical judgment
02
Ads Quality Rater
Reviews the relevance, usefulness, and appropriateness of advertisements in relation to a search query, landing page, audience, and local market.
Typical tasks
- Compare ads with user intent
- Review landing-page quality
- Flag policy or cultural concerns
Good fit for
Advertising awareness, research, attention to detail
03
LLM Evaluator
Compares and scores responses produced by large language models for accuracy, relevance, safety, reasoning, style, and overall usefulness.
Typical tasks
- Rank competing AI responses
- Fact-check claims and citations
- Explain errors using a rubric
Good fit for
Critical thinking, subject expertise, precise writing
04
AI Writing Evaluator
Reviews AI-generated writing for clarity, accuracy, tone, structure, naturalness, and adherence to instructions, often rewriting weak answers.
Typical tasks
- Score style and instruction-following
- Rewrite or improve responses
- Create reference answers
Good fit for
Writing, editing, translation, domain knowledge
05
Data Annotator
Labels and structures text, images, audio, or video so machine-learning systems can learn from consistent human examples.
Typical tasks
- Classify and tag content
- Draw image or video boundaries
- Review and correct annotations
Good fit for
Consistency, concentration, visual or linguistic accuracy
06
Prompt Evaluator
Tests prompts and the resulting AI outputs to determine whether instructions are clear, robust, safe, and capable of producing the intended result.
Typical tasks
- Test prompt variations
- Find ambiguous instructions
- Score output quality and consistency
Good fit for
Analytical writing, experimentation, evaluation experience
07
Prompt Designer
Designs and optimizes prompt systems, examples, evaluation cases, and instruction hierarchies for reliable AI-assisted workflows.
Typical tasks
- Write structured prompt specifications
- Build test cases and edge cases
- Optimize prompts through iteration
Good fit for
Prompt engineering, UX writing, workflow design
08
Localization Quality Evaluator
Checks whether AI or digital content is linguistically correct, culturally natural, locally appropriate, and consistent with the target market.
Typical tasks
- Review language and terminology
- Assess cultural relevance
- Identify localization and tone issues
Good fit for
Bilingual fluency, translation, cultural expertise
09
Translator / AI Translation Reviewer
Translates, post-edits, and reviews human- or AI-generated content so meaning, tone, terminology, and cultural intent remain accurate in the target language.
Typical tasks
- Translate and post-edit content
- Review machine translation quality
- Maintain terminology and style consistency
Good fit for
Bilingual fluency, translation, editing, subject expertise
10
Speech & Transcription Reviewer
Transcribes speech or checks machine-generated transcripts for accuracy, speaker attribution, timestamps, language, and audio events.
Typical tasks
- Correct automated transcripts
- Label speakers and audio events
- Validate pronunciation or speech data
Good fit for
Listening accuracy, language skills, transcription experience
11
Audio Recording Project Contributor
Records voice prompts, scripted speech, or natural conversations that become consented speech datasets for training and evaluating audio AI systems.
Typical tasks
- Record prompts or guided conversations
- Follow audio and pronunciation guidelines
- Check sound quality before submission
Good fit for
Clear speech, a quiet room, language fluency, careful instruction-following
12
Coding / Software Engineering Evaluator
Evaluates AI-generated code, debugging steps, technical explanations, and software-engineering solutions for correctness, efficiency, and security.
Typical tasks
- Review and run generated code
- Compare technical solutions
- Find bugs, risks, and reasoning errors
Good fit for
Programming, code review, software engineering