Government Careers
  • Enforcement

  • Pride Global
  • Washington, District of Columbia 20022 United States View Map

Summary

Enforcement Operations Specialist

The AI R&D Access & Abuse Reviewer will evaluate access requests associated with AI research and development use cases. This individual will assess the credibility, legitimacy, and stated purpose of research activities to determine whether access should be approved, denied, or escalated under established policies and safeguards. The ideal candidate has experience in Trust & Safety, AI policy operations, machine learning-adjacent operations, research program administration, or grants review. The role requires sound judgment, policy-driven decision-making, and sufficient familiarity with machine learning concepts to assess research proposals and identify potential misuse or abuse concerns.

Key Responsibilities

Review and evaluate access requests related to AI research and development activities. Assess the credibility, legitimacy, and technical plausibility of stated research use cases. Apply established access policies, eligibility criteria, and safeguards consistently. Identify potential abuse risks, suspicious research claims, and requests that require additional scrutiny. Evaluate whether proposed use cases align with permitted research activities and access requirements. Document review findings, decision rationales, and supporting evidence. Escalate ambiguous, high-risk, or policy-sensitive cases to the appropriate stakeholders. Collaborate with AI research, policy, Trust & Safety, and enforcement teams to improve review quality and consistency. Maintain accurate case records and meet established review turnaround expectations. Provide feedback on recurring abuse patterns and opportunities to improve future review automation.

Required Qualifications

Experience in Trust & Safety, policy operations, AI safety operations, research administration, grants review, or a related field. Demonstrated ability to make evidence-based decisions using established policies and review criteria. Familiarity with machine learning concepts, AI research workflows, or technical research environments. Ability to assess the credibility and stated purpose of research-related requests. Strong analytical, critical-thinking, and written communication skills. Ability to document clear decision rationales and handle sensitive information appropriately. Sound judgment when evaluating ambiguous cases and determining when escalation is necessary.

Equal Employment Opportunity

PrideGlobal and its affiliates are an equal opportunity employer. We do not discriminate on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

Fair Chance Employment

PrideGlobal and its affiliates are a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.

Accommodations

We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates

Job Description

Enforcement Operations Specialist

The AI R&D Access & Abuse Reviewer will evaluate access requests associated with AI research and development use cases. This individual will assess the credibility, legitimacy, and stated purpose of research activities to determine whether access should be approved, denied, or escalated under established policies and safeguards. The ideal candidate has experience in Trust & Safety, AI policy operations, machine learning-adjacent operations, research program administration, or grants review. The role requires sound judgment, policy-driven decision-making, and sufficient familiarity with machine learning concepts to assess research proposals and identify potential misuse or abuse concerns.

Key Responsibilities

Review and evaluate access requests related to AI research and development activities. Assess the credibility, legitimacy, and technical plausibility of stated research use cases. Apply established access policies, eligibility criteria, and safeguards consistently. Identify potential abuse risks, suspicious research claims, and requests that require additional scrutiny. Evaluate whether proposed use cases align with permitted research activities and access requirements. Document review findings, decision rationales, and supporting evidence. Escalate ambiguous, high-risk, or policy-sensitive cases to the appropriate stakeholders. Collaborate with AI research, policy, Trust & Safety, and enforcement teams to improve review quality and consistency. Maintain accurate case records and meet established review turnaround expectations. Provide feedback on recurring abuse patterns and opportunities to improve future review automation.

Required Qualifications

Experience in Trust & Safety, policy operations, AI safety operations, research administration, grants review, or a related field. Demonstrated ability to make evidence-based decisions using established policies and review criteria. Familiarity with machine learning concepts, AI research workflows, or technical research environments. Ability to assess the credibility and stated purpose of research-related requests. Strong analytical, critical-thinking, and written communication skills. Ability to document clear decision rationales and handle sensitive information appropriately. Sound judgment when evaluating ambiguous cases and determining when escalation is necessary.

Equal Employment Opportunity

PrideGlobal and its affiliates are an equal opportunity employer. We do not discriminate on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

Fair Chance Employment

PrideGlobal and its affiliates are a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.

Accommodations

We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates

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