S

Scale AI

Supplies AI training data and builds AI apps

GenAI Compliance Operations & Programs Associate

Regulatory Compliance & EthicsConfirmed live in the last 24 hours
Full-timeMexico City, CDMX, MexicoNo salary listed

About the Job

Requirements

  • Requires 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.
  • Requires a bachelor's degree; preferred fields include Business Administration, Operations Management, Information Systems, or Public Policy.
  • Requires working knowledge of basic legal and compliance concepts, including privacy, copyright, and data handling.
  • Requires the ability to triage, prioritize, and manage high-volume workflows.
  • Requires cross-functional collaboration, especially with Legal, Ops, Product, and Engineering.
  • Requires experience with data tools and dashboards, such as Redash or similar tools.
  • Requires a basic understanding of SQL, including the ability to build and run basic queries.
  • Requires high attention to detail and strong operational follow-through.

Responsibilities

  • 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, including data sensitivity, copyright exposure, and 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 the project and customer level, gather operational input to develop and prioritize systematic compliance controls, and train and 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.
  • 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, and escalate gaps or risks as needed.
  • 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.
  • Manage day-to-day access governance across systems and sensitive datasets, including Redash and internal and 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.

Desired Qualifications

  • Direct experience supporting or operating within GenAI or AI delivery workflows is strongly preferred.
  • Experience in GenAI, Trust & Safety, or data compliance environments is preferred.
  • Familiarity with legal intake processes or working directly with Legal teams is preferred.
  • Experience designing operational workflows, intake systems, or triage frameworks is preferred.
  • Exposure to risk assessment or prioritization models is preferred.
  • A background in Law, Data Science, or Computer Science is preferred.

About the Company

Scale AI

Supplies AI training data and builds AI apps

Scale AI supplies the data that AI labs use to train and test their models, and it builds custom AI applications for companies and government agencies such as the Pentagon. It first made its name labeling camera and sensor data for self-driving car companies like Waymo, then worked with OpenAI on InstructGPT, the 2022 forerunner of ChatGPT. Freelancers, some of them doctors and lawyers, write, label, and grade examples through its Outlier platform, and labs pay Scale for this data and for tests of model quality. Clients pay Scale to build AI tools on their own data, and some of those tools run on classified military networks. Alexandr Wang and Lucy Guo founded Scale AI in 2016, and it is based in San Francisco.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$1.6B
Headquarters
San Francisco, CA
Founded
2016

Recently Posted Jobs

Explore more opportunities at Scale AI

See more jobs