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Full Time Data Operations Jobs (NOW HIRING)

RoboForce

AI Data Operations Lead

Milpitas, CA

$145K - $205K/yr

We are looking for AI Data Operations Lead to lead and own the engineering of systems that turn ... this full-time U.S. position. Final compensation will be determined based on role scope, level ...

Allocate

Senior Data Operations Analyst

New York, NY · On-site

$95K - $135K/yr

About the Role Allocate is looking to add a Senior Data Operations Analyst to the team in New York ... Employment: Full-time. Seniority: Mid-to-senior professional. * Salary: The expected base salary ...

SAIC

Data Operations Engineer Senior

Honolulu, HI

$120K - $160K/yr

Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... ORA_ON_SITE Description We are seeking a Data Operations Engineer to design, build, and maintain ...

Kharon

Research Analyst, Data Operations

Washington, DC · On-site

$68K - $78K/yr

DR Kharon is seeking a full-time, in-office Research Analyst, Data Operations with working proficiency in a Mandarin (simplified and/or traditional), to join our team in Washington D.C. This role ...

SAIC

Data Operations Engineer Principal

Honolulu, HI · On-site +1

$120K - $160K/yr

Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum ... ORA_ON_SITE Description We are seeking a Data Operations Engineer to design, build, and maintain ...

Maximus

Data Operations Technical Lead

Tampa, FL · On-site

General information Job Posting Title Data Operations Technical Lead Date Thursday, May 7, 2026 City Tampa State FL Country United States Working time Full-time Description & Requirements We are ...

Apple

ML Data Operations Engineer

Cupertino, CA

$184K - $324K/yr

In this role, you will work shoulder-to-shoulder with full-time Apple scientists and engineers, not ... operations, data collection coordination, or a related technical operations role. Hands-on ...

City of Boston

Data Operations Systems Manager

Boston, MA · On-site

$99K - $142K/yr

Overview: Reporting to the Senior Director of Network and Data Center Operations, the Data ... Applicants must have at least five (5) years of full-time, paid professional experience in systems ...

SAIC

Senior Data Operations Technical Lead

Tampa, FL · Hybrid

$100K - $136K/yr

Database Engr Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... ORA_ON_SITE Description SAIC is seeking a highly skilled TS/SCI Cleared Data Operations Technical ...

Air

Lead Data Operations & Quality

Pittsburgh, PA · On-site

This role is a full-time position located out of our office in Pittsburgh, PA. This role may ... Citizenship is required Required Skills: * 3+ years of experience in content operations, data ...

Air

Lead Data Operations & Quality

Pittsburgh, PA

This role is a full-time position located out of our office in Pittsburgh, PA. This role may ... Citizenship is required Required Skills: * 3+ years of experience in content operations, data ...

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Full Time Data Operations information

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How much do full time data operations jobs pay per year?

As of Aug 20, 2026, the average yearly pay for full time data operations in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

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Full Time Data Operations jobs near you

AI Data Operations Lead

RoboForce

Milpitas, CA

$145K - $205K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 27 days ago

Job description

Why RoboForce
RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.
 
We are looking for AI Data Operations Lead to lead and own the engineering of systems that turn embodied AI into real-world robot behavior. You will be the technical owner and lead for the full embodied systems stack - the onboard AI system, the data collection system, the teleoperation systems, and the on-robot reinforcement learning system - driving the direction hands-on and closing the loop between data, models, and action in the physical world.
 
Responsibilities
  • Own the operational execution of RoboForce's AI learning programs, translating research priorities into scalable execution plans.
  • Partner closely with AI researchers and engineers to coordinate cross-functional execution across AI, Hardware, Robotics Software, and Operations.
  • Recruit, develop, and retain a 20-50 person team across data collection, annotation, and teleoperation - setting clear performance expectations, building career development pathways, and fostering a culture of ownership, safety, and continuous improvement.
  • Define, track, and report operational KPIs - including data collection throughput, robot uptime, and evaluation turnaround - to drive decisions and communicate operational health to leadership.
  • Own robot fleet health and readiness - driving preventive and corrective maintenance, and tracking uptime to ensure robots are mission-ready for data collection and evaluation.
  • Drive program execution, resolve blockers, manage priorities, and continuously improve operational efficiency.
  • Own end-to-end execution of robot data collection and annotation programs, including operational workflows, SOPs, operator training, scheduling, quality assurance, and vendor management.
  • Build scalable operational processes that consistently deliver high-quality datasets supporting AI development.
  • Partner with AI researchers to organize evaluation resources, execute testing plans, and deliver timely, reliable evaluation results.
  • Ensure experiment outcomes, operational learnings, and program progress are accurately captured and communicated across cross-functional teams.
  • Foster a culture of operational excellence, ownership, and continuous improvement while establishing scalable operational processes that enable the AI organization to grow.
Requirements
  • Bachelor's degree or above; technical degrees preferred.
  • 5+ years of experience in technical operations, program management, or cross-functional operations leadership, ideally in a hardware, robotics, or R&D environment.
  • Demonstrated experience managing people, operators, or vendor teams - including hiring, training, scheduling, and performance management.
  • Strong ability to translate technical priorities from research and engineering teams into scalable operational workflows, SOPs, and execution plans, without needing to write code or design systems yourself.
  • Comfortable partnering closely with AI researchers and engineers, and fluent enough in technical concepts (data pipelines, model training, robot operations) to coordinate effectively - but this is a people and process leadership role, not a hands-on engineering role.
  • Excellent communication, organizational, and cross-functional leadership skills.
  • Comfortable operating in a fast-paced, ambiguous R&D environment where priorities shift quickly.
  • Requires 5 days/week in-office collaboration with the teams.
Bonus Qualifications
  • Experience supporting Physical AI, robot learning, imitation learning, or VLA development.
  • Experience with teleoperation systems, human demonstration pipelines, or robotics data collection.
  • Experience managing large-scale annotation operations and external vendors.
  • Familiarity with robot benchmarking and evaluation workflows.
  • Experience designing internal operational tools, dashboards, or workflow automation systems.
Benefits
  • Competitive stock options/equity programs.
  • Health, dental, and vision insurance, 401(k) plan.
  • Visa sponsorship and green card support for qualified candidates.
  • Lunches and dinners, a fully stocked kitchen, and regular team-building events.
Compensation: $145,000-$205,000 USD + Bonus + Equity
 
The base salary range above represents the expected compensation for this full-time U.S. position. Final compensation will be determined based on role scope, level, location, job-related skills, experience, and relevant education or training, and may fall outside the listed range in exceptional cases. 

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