WHAT TO EXPECT
We Want Your Expertise
We’re seeking experienced AI data professionals who bring strong judgment, precision, and a commitment to high-quality evaluation.
If you have experience in annotation, transcription, benchmarking, or model evaluation, your expertise can strengthen our multilingual AI used in real-world industry settings.
The 5 Styles of AI Assessment
The five assessment styles are how we approach assessing AI performance. Utilization of these various approaches is dependent on the nature of the project.
Conversational Q&A
Evaluate multi-turn responses for accuracy, reasoning, safety, and consistency across languages.
Model Validation
Ensure model outputs meet domain standards for quality, safety, and deployment readiness.
Classification
Assess how accurately models categorize and interpret structured and unstructured content.
Comparison / Ranking
Compare outputs to identify the highest-quality response based on defined criteria.
Model Breaking
Stress-test models to uncover failure modes, hallucinations, and safety
