Data Ops Manager with AI/ML exp

MACHINE LEARNING TECHNOLOGIES LLC; Mountain View (CA); Presencial; USD 92.000 - 125.000; Jornada completa

Descripción de la vacante

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Data Ops Manager with AI/ML experience in Mountain View, CA. This 12-month + extension role focuses on owning data strategy for research teams advancing frontier AI capabilities and building scalable data pipelines to support RLHF, safety, and tool use.

You will lead cross-functional initiatives, manage vendor relationships, and ensure data quality for training state-of-the-art AI systems while aligning with model development roadmaps.

Formación

• 10+ years in operations, consulting, product management, or program management roles.
• Excellent project management skills with ability to handle multiple complex projects.
• Strong communication skills for technical and non-technical stakeholders.
• Familiar with how LLMs work or AI training methodologies.
• Highly organized and able to navigate ambiguity.
• Experience with data analysis tools (SQL, Python, Tableau, etc.).
• Thrive in fast-paced research environments with shifting priorities.
• Passionate about AI safety and data quality.

Responsabilidades

• Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows.
• Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale.
• Design and implement operational systems that translate research requirements into high-quality data pipelines.
• Build evaluation frameworks and quality standards ensuring data meets training standards for state-of-the-art AI.
• Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards.
• Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations.
• Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities.

Conocimientos

Data operations

AI/ML data strategy

Vendor management

Cross-functional leadership

Stakeholder communication

Herramientas

SQL

Python

Tableau

Descripción del empleo

Job Description

Job Overview

Job ID: J54710

Job Title: Data Ops Manager with AI/ML exp

Location: Mountain View, CA

Duration: 12 Months + Extension

Domain Exposure: IT/Software

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Bill Rate: $79/hour (C2C)

Data Ops Manager for QA AI OPS track - Responsibilities

• Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows
• Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale
• Design and implement operational systems that translate research requirements into high-quality data pipelines
• Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems
• Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards
• Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations
• Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities

You May Be a Good Fit If You

• Have 10+ years in operations, consulting, product management, or program management roles
• Have exceptional project management skills with ability to handle multiple complex projects simultaneously
• Have strong communication skills and can engage effectively with technical and non-technical stakeholders
• Are familiar with how LLMs work or have strong interest in understanding AI training methodologies
• Are highly organized and can navigate ambiguity effectively
• Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar)
• Thrive in fast-paced research environments with shifting priorities
• Are passionate about AI safety and understand the critical importance of high-quality data

Strong Candidates May Also Have

• Experience with data collection, labeling, or annotation operations for AI/ML systems
• Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows
• Background working with research teams at AI companies or research-oriented organizations
• Experience managing vendor relationships or external contractors
• Consulting background with experience translating complex requirements into deliverables
• Track record of implementing process improvements or quality control systems at scale

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.