---
title: 'GenAI Compliance Operations & Programs Associate at Scale AI'
canonical: 'https://feeny.ai/job/genai-compliance-operations-programs-associate-scale-ai-mexico-city-9t4q31fapegt'
type: 'job'
last_seen: '2026-09-09'
---

# GenAI Compliance Operations & Programs Associate at Scale AI

- **Company:** Scale AI
- **Location:** Mexico City, Mexico
- **Posted:** 2026-09-03
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/scaleai/jobs/4730306005

## Job description

## About the Role

This role will serve as a key execution partner to the GenAI Customer Compliance Manager, with a strong focus on supporting GenAI delivery workflows through embedded compliance operations and Legal coordination. The GenAI Compliance Operations & Programs Associate will sit at the intersection of Delivery, Ops, and Legal, ensuring that compliance considerations are integrated early in the project lifecycle, risks are clearly identified and prioritized, and Legal is engaged with the right context at the right time.

By owning execution, coordination, and delivery integration, this role frees the Customer Compliance Manager to focus on strategy, governance, and risk frameworks. The role requires strong operational ownership, comfort with ambiguity, and the ability to drive alignment across fast-moving, cross-functional teams.

## Key Responsibilities

Compliance Review Operations & Legal Coordination

- Manage end-to-end compliance review workflows for GenAI projects — from early-stage intake through review, approval, launch, and verification — in close partnership with Engagement Management and Delivery.
- Evaluate incoming work for compliance risk signals (e.g., data sensitivity, copyright exposure, privacy concerns); triage and prioritize requests for Legal based on risk, scope, and delivery timelines.
- Partner with Engagement Management to translate and execute risk mitigation at both the project and customer level, gather operational input to develop and prioritize systematic compliance controls, and train/educate Ops stakeholders on common or emerging compliance risks.
- Ensure Legal receives clear, structured, and actionable context; coordinate reviewers across Legal and internal teams to support SLA adherence.
- Identify workflow friction points and contribute to improving processes, templates, and prioritization frameworks.
- Maintain dashboards to track throughput, bottlenecks, SLAs, and risk trends.

Risk Mitigation Solutions & Monitoring

- Support Engineering and Ops in developing and implementing scalable risk mitigation solutions.
- Operationalize solutions into repeatable workflows aligned with delivery processes.
- Monitor adoption and effectiveness; escalate gaps or risks as needed.

Customer Audit Support

- Support audit readiness activities including evidence collection and documentation under the direction of the Customer Compliance Manager.
- Assist in preparing audit packages and tracking progress toward readiness milestones.
- Support audit remediation efforts and follow-through.

Access Control & Operational Hygiene

- Manage day-to-day access governance across systems and sensitive datasets (including Redash and internal/external Google Groups).
- Execute quarterly access reviews and cleanup processes in alignment with policies set by the Customer Compliance Manager.
- Enforce and standardize permissions and operational controls; flag anomalies for escalation.

## Qualifications

Required

- 1-3 years of experience in operations, program management, compliance, or GenAI/technical delivery environments.
- Must be local to Mexico with advanced English speaking skills
- Bachelor’s degree required; preferred fields include Business Administration, Operations Management, Information Systems, or Public Policy.
- Direct experience supporting or operating within GenAI/AI delivery workflows strongly preferred.
- Working knowledge of basic legal/compliance concepts (privacy, copyright, data handling).
- Proven ability to triage, prioritize, and manage high-volume workflows.
- Strong cross-functional collaboration skills, especially with Legal, Ops, Product, and Engineering.
- Experience with data tools and dashboards (e.g., Redash or similar).
- Basic understanding of SQL (e.g., able to build and run basic queries)
- High attention to detail and strong operational follow-through.

## Nice to Have

- Experience in GenAI, Trust & Safety, or data compliance environments.
- Familiarity with legal intake processes or working directly with Legal teams.
- Experience designing operational workflows, intake systems, or triage frameworks.
- Exposure to risk assessment or prioritization models.
- Background in Law, Data Science, or Computer Science.

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's [Know Your Rights poster](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our [privacy policy](https://scale.com/legal/privacy) for additional information.

## About Scale AI

## Company Overview
- **One-liner**: Scale AI provides high-quality data, RLHF, model evaluations, and full-stack AI infrastructure to help enterprises and governments build, deploy, and oversee reliable AI systems.
- **Entity Type**: Private (49% non‑voting stake owned by Meta Platforms as of June 2025; total funding $1.6B across eight rounds)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2016
- **Founders**: Alexandr Wang, Lucy Guo (Wang left in June 2025; current CEO is Jason Droege)

## Core Business
- **Primary industry**: AI infrastructure, data annotation, large language model (LLM) evaluation, enterprise AI deployment
- **Target customers**: B2B – Enterprise and government organizations; also serves leading AI labs (e.g., OpenAI, Google DeepMind, Meta, Microsoft, General Motors)
- **Mission**: “Develop reliable AI systems for the world's most important decisions.”

## Products & Services
- **Data at Scale**: High-quality training data, annotations, and RLHF for advanced AI models (SaaS + human-in-the-loop service)
- **Evaluations**: Rigorous model evaluations, benchmarking, and red‑teaming to measure and improve AI performance (service)
- **Applied AI**: Full‑stack AI systems that help enterprises and governments build, deploy, and oversee reliable AI (SaaS + consulting)
- **Safety, Evaluation and Alignment Lab**: Research arm focused on LLM alignment and safety (internal R&D; also co‑created the “Humanity's Last Exam” benchmark)
- **Subsidiaries**: Remotasks (computer vision and autonomous vehicle data labeling), Outlier (LLM data annotation)

## Market Standing
- **Valuation**: $29B (as of 2025 – cited on scale.com)
- **Key Metric**: Total Funding – $1.6B (including the $14B Meta investment that acquired a 49% non‑voting stake in June 2025)
- **Notable Investors/Partners**: Meta Platforms (49% owner), with commercial customers including Google, Microsoft, Meta, General Motors, OpenAI, and Time. Also works with U.S. and Qatari governments.
- **Growth Signals**:
  - Headcount: Scale.com cites “1,000+” employees; LinkedIn reports 3,751 employees (+32.1% YoY).
  - 90% of the world’s leading generative AI model builders are powered by Scale.
  - 15 billion human decisions used to train AI models; $1 billion paid to contributors globally.
  - Active job postings: 284+ (as of July 2025), with strong hiring in enterprise engineering, AI agents, and solutions roles.

## Competitive Advantages
- **Data moat**: Scale’s proprietary Data Engine and access to millions of human‑annotated decisions create high‑quality training data that competitors cannot easily replicate.
- **Trust & adoption**: Used by 90% of leading GenAI builders; runs private benchmarks for the most ambitious AI companies.
- **Government credibility**: Direct contracts with the U.S. Department of Defense and international governments (e.g., Qatar) – a high‑barrier entry point.
- **Full‑stack offering**: From raw data annotation to LLM evaluation and end‑to‑end applied AI deployment, Scale covers the entire AI lifecycle.
- **Research leadership**: In‑house Safety, Evaluation and Alignment Lab; co‑creator of the “Humanity's Last Exam” benchmark.

## Strategic Focus
- **Enterprise GenAI agents**: Ramping up “AgentOps” and “Frontier Agents” engineering teams (many open roles in SF, NY, London, Budapest).
- **Healthcare & life sciences**: Hiring dedicated GTM leaders and AI strategists for healthcare vertical.
- **International expansion**: Growing offices in London, Budapest, Mexico City, and Washington DC.
- **Safety and alignment**: Continued investment in red‑teaming, model evaluations, and government‑focused AI safety contracts.

## Why Work Here
- **Mission‑driven**: “Develop reliable AI systems for the world’s most important decisions” – directly shaping frontier AI capabilities.
- **Compensation & benefits**: Comprehensive health, dental, vision, mental health services; generous PTO; annual learning & development stipend; parental leave; ERGs; guest‑friendly offices with happy hours, game nights, book clubs.
- **Engineering culture**: Credos such as “Write the Market,” “Find the 20%,” “Earn Customer Love,” and “Quality is Our Cheat Code” emphasize impact over effort, customer obsession, and structured thinking.
- **Growth trajectory**: Rapid headcount growth (+32%), major Meta investment, and expansion into new verticals signal a company in high‑growth mode.
- **Flexible work**: Offices in SF, NY, London, Budapest, Mexico City, DC; the careers page highlights “flexible environment,” though specific remote/hybrid policy is not explicitly stated.

## Sources
1. [scale.com](https://scale.com/about)
2. [scale.com](https://scale.com/)
3. [scale.com/careers](https://scale.com/careers)
4. [linkedin.com](https://www.linkedin.com/company/scaleai)
5. [greenhouse.io](https://job-boards.greenhouse.io/scaleai)

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