Data Annotation Specialist, Safety
Cohere · Canada · Calgary · Vancouver · Toronto · Montreal
Frontier labremote$67k
At a glance
Highlights
- Label, rank, and refine model outputs to improve safety and policy alignment.
- Write realistic prompts and adversarial examples to uncover unsafe responses.
- Shape frontier LLMs that power content generation, search, RAG, and agents.
What they offer
- 12-month contract with potential for extension
Ideal candidate
Detail-oriented Trust & Safety professional with strong cultural sensitivity and nuanced judgment. Comfortable working independently on ambiguous safety content and motivated by improving AI safety for everyone.
Requirements
- Background in Trust & Safety, Content Moderation, AI model evaluation or related field
- Strong contextual judgment with cultural and bias sensitivity applying nuanced guidelines
- Detail-oriented and comfortable evaluating safety risks across ambiguous content
- Able to make consistent, well-reasoned decisions independently
- Able to commit to minimum 16 hours per week
- Bring your own device (laptop)
- Comfortable with exposure to explicit sexual, violent or psychologically disturbing content
- remote policy
- Remote within Canada or the United States
- hiring process
- Language-based tasks including writing sample and chatbot interaction, followed by video screen with Operations Team, then Independent Contractor Agreement offer
Lab profile
About Cohere
Security-first enterprise AI company building frontier foundation models for business applications.
What they build
- Command foundation models
- Embed models
- Rerank models
Known for
- Security-first enterprise AI
- Frontier model training and deployment
- Business-focused end-to-end products
Key facts
- Founded in 2019
- Headquartered in Toronto, Canada
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