Trust & Safety Evaluator with English from Australia
TampereCompetitive0 applicants
About this role
Trust & Safety Evaluator conduct adversarial testing and safety evaluation of generative AI features. Main tasks are crafting queries, evaluating the safety of generated content and providing critical feedback. This role requires creative thinking about potential misuse, deep cultural and linguistic knowledge, and the ability to identify subtle safety risks.
Responsibilities
- Write, review and evaluate diverse and challenging queries designed to test the system's limits and expose problematic outputs. Queries will target specific risk topics including explicit and/or offensive content
- Design and execute sequences of queries simulating realistic, unfolding conversations.
- Craft attack scenarios using techniques like crescendo attacks and context manipulation to test the system
- Age-Appropriate Safety Evaluation: to guide adversarial query crafting and safety evaluation.
- Assign risk ratings to AI Generated content based on safety guidelines.
- Detect and articulate potential biases in system-generated content
- Identify subtle unsafe elements, inconsistencies, or problematic implications
- Evaluate specific cultural and language knowledge across different cultural contexts.
- Leverage familiarity with relevant domains, genres, cultural references, and industry context.
- Complete adversarial testing tasks within time constraints
- Maintain high accuracy and attention to detail while working at pace.
- REQUIRED SKILLS
- Language skills: Australian English as primary language is mandatory.
- Demonstrated in-depth cultural awareness of Australia together with business practices, market, social norms and values.
- Candidates must be located in Finland and eligible to work fulltime in Finland. The role is on site in the Tampere office, remote work is not possible.
- 2+ years of demonstrated professional experience in adversarial testing, red teaming, or similar security and safety evaluation work.
- Experience crafting sequential adversarial queries and attack scenarios