Safety/Red Teaming Data Labelling Analyst III

Job Title: Safety / Red Teaming Data Labeling Analyst III (DLA III)Company: Meta AI (via Tundra Technical Solutions)Location: Hybrid – 3 days onsite per weekPay Rate: $30/hr USDExperience Required: 4+ yearsContract: 3 months to start (Extension likely)About the RoleTundra Technical Solutions is hiring on behalf of Meta AI for a Safety / Red Teaming Data Labeling Analyst III (DLA III) to support AI model development and evaluation. This role is focused on improving model safety, quality, and reliability through data annotation, auditing, and adversarial testing.You'll work closely with cross-functional teams to evaluate model outputs, identify risks, and help strengthen safety systems through structured red-teaming efforts.Key ResponsibilitiesExecute high-quality data annotation and evaluation across multi-modal datasetsPerform QA auditing, including sampling, inter-annotator alignment, and error analysisDesign and run red-teaming / jailbreak prompts to test model safety across sensitive domainsAnalyze model outputs to identify policy violations, risks, and edge casesApply knowledge of global political systems, events, and actors to inform content evaluation and policy enforcementCollaborate with stakeholders to improve labeling guidelines and model performanceRequired Qualifications4+ years of experience in data annotation, labeling, or evaluationProven experience with QA auditing methodologies (sampling, alignment, error analysis)Hands-on experience with safety-focused red-teaming or adversarial testingStrong understanding of US and global political landscapes and current eventsAbility to apply policy frameworks to risk identification and content evaluationPreferred QualificationsExperience working with LLMs (Large Language Models)Bachelor's degree (preferred, not required)Why Apply?Work at the forefront of AI safety and model evaluationOpportunity to contribute to large-scale AI systems at Meta AICollaborative, fast-paced, and impactful environmentHow to ApplyIf you're interested, please apply directly or share your resume and availability for a screening call at alishbshahnawaz@meta.com