Bias & Fairness Analyst

Home/Careers/Bias & Fairness Analyst Data & Evaluation Bias & Fairness Analyst Bias & Fairness Analysts assess data and models for bias and recommend mitigation strategies. Apply for this roleManage an applicationBack to careers Overview Bias & Fairness Analysts assess data and models for bias and recommend mitigation strategies. Responsibilities Evaluate datasets: Analyze datasets for demographic representation and potential biases. Assess model outputs: Test algorithms for disparate impact and unfair outcomes. Recommend mitigation strategies: Develop approaches such as reweighting, bias-aware training, and fairness constraints. Collaborate with ethicists and engineers: Work with AI Ethics Researchers and engineers to implement improvements. Qualifications Degree in statistics, sociology, or related field. Knowledge of fairness metrics and bias mitigation techniques. Strong analytical and communication skills. Equal opportunity TAIRC evaluates candidates using role-related evidence and documented review criteria. Employment decisions must not be based on protected personal characteristics. Engagement pathways and compensation status TAIRC is currently building its funding base. Opportunities identified as volunteer or unpaid do not provide compensation at this stage. Any future paid appointment would require available funding, organizational approval, applicable legal compliance, and a separate written agreement. Participation does not guarantee future employment or compensation. Volunteer contribution interest may be reviewed only as a voluntary, scoped pathway. Educational internship interest requires separate supervision, educational purpose, and legal review. Advisory expressions of interest are not board or formal advisory appointments. Future compensated employment is contingent on funding, approval, legal compliance, and a separate written offer. Accessibility and accommodations For an accommodation or alternate submission format, contact hr@tairc.com. The application form does not request medical documentation or sensitive identity documents. Posting information Department Data & Evaluation Public role ID TAIRC-ROLE-035 Status Open Location, employment type, workplace type, compensation, sponsorship policy, posted date, and closing date are omitted unless HR has entered approved factual values. Recruitment privacy Application data is used for recruitment review, stored with restricted access, and handled under the recruitment privacy and retention policy.