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About the Role

We are looking for someone to join Data Operations and help researchers get the data they need to train and evaluate our models. You will work directly with researchers to understand their needs, determine how to acquire the necessary data, and manage the process through to completion. This is a hands-on role involving direct vendor interaction, data quality review, and process/system development for scalability.

Responsibilities

• Work with researchers to understand data needs and translate requests into actionable plans.
• Manage data projects from sourcing and vendor selection to quality review and delivery.
• Identify and secure optimal vendors, experts, and data sources.
• Cultivate and maintain strong partnerships with data vendors, including international ones.
• Review data with researchers and vendors, identifying and rectifying quality issues.
• Gain in-depth knowledge of new data domains as required and quickly assess data quality standards.
• Develop guidelines, processes, and tools to streamline recurring tasks and enhance scalability.
• Automate repetitive tasks where appropriate, while retaining human judgment for critical work.
• Collaborate with legal and other teams on vendor relationship management and adherence to communication protocols.
• Oversee multiple projects, aligning with research and model timelines, and adapt to shifting priorities.

Requirements

• Experience managing operational, data, product, program, or vendor work from inception to completion.
• Experience working with data vendors, preferably in AI or technology sectors.
• Strong problem-solving abilities and a proactive approach to finding solutions.
• Comfortable collaborating directly with researchers or technical teams and converting vague requirements into concrete actions.
• Good judgment regarding data quality and a commitment to thorough inspection.
• Effective communication skills across diverse teams, vendors, and cultures.
• Adaptability to ambiguity, changing priorities, and demanding timelines.
• High level of initiative and a proactive attitude to drive work forward.
• Ability to implement useful structure without unnecessary complexity.

Skills

• Pre-training
• Post-training
• Evaluation
• Annotation
• AI data types
• Vendor relationships
• Cross-border operational issues
• Compliance issues
• Process building
• Tooling development
• Automation

Location

• San Francisco, CA

Work Type

• Full-time

Experience Level

• Mid-level

Salary/Compensations

• $250,000 - $350,000

Benefits

• Generous health, dental, and vision benefits
• Unlimited PTO
• Paid parental leave
• Relocation support

About the Company

• The mission of Thinking Machines is to build AI that extends human will and judgment.
• We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication.
• We believe the future worth building is human, and we're hiring people who want to build it.

Equal Opportunity

• As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
• Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.