Trust and Safety Operations Intern

• Annotation operations: Stand up and scale workflows (task specs, queues, SLAs, QC gates, audits).

• Gold/rubric programs: Build gold sets, hidden gold, calibration tests; drive rubric versioning and clear decision trees.

• LLM evaluations: Design safety/quality eval suites (multi-turn, multilingual, multimodal); create red-team prompts; wire into CI for regressions.

• Vendor management: Manage BPO/annotation vendors; capacity plans, and corrective actions.

• Currently pursuing a Bachelor’s or Master’s degree in a relevant field (e.g. Data Science, Operations, Cognitive Science, or related).

• Strong analytical and problem-solving skills with attention to detail.

• Interest in Trust & Safety, AI/ML operations, or data quality.

• Excellent communication and documentation skills.

• Familiarity with annotation tools, labeling workflows, or quality control systems.

• Exposure to LLMs, prompt engineering, or evaluation methods.

• Experience working with vendors or cross-functional teams.

Reinforce Labs is a small team with a clear mission: Shape a future where online spaces are safe for everyone.

We value

• Willingness to learn new things, take on diverse tasks, and challenge yourself

• Hands-on technical excellence

• Ownership

• Ability to handle ambiguity

• Fast, results-driven delivery