AI Data Engineer Jobs in San Francisco, CA
AI Data Engineer jobs in San Francisco are concentrated in SoMa, Mission Bay, and the Financial District, driven by demand from tech platforms, biotech firms, and enterprise AI companies. Employers actively hiring include Amazon Web Services, RNB Consultancy, and Amazon. See the openings below and apply to the ones that match your experience.
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DESCRIPTION
Key job responsibilities
Own the technical execution and continuous improvement of early-stage data collection for advanced robotics. Partner with researchers to translate research objectives into reliable collection workflows, improve data quality, and shorten policy training iteration cycles. Work independently within agreed priorities, providing hands-on technical guidance to data collectors and coordinating execution across research, engineering, and operations.
In this role, you will
- Own end-to-end collection iterations for assigned research tasks, from requirements and station readiness through pilot collection, quality review, and delivery of training-ready data. Coordinate dependencies and resolve blockers to meet agreed quality and turnaround goals.
- Partner with researchers to develop and refine SOPs, translating task objectives, failure modes, and evaluation feedback into clear collection instructions and acceptance criteria. Maintain version control and ensure collectors adopt changes consistently.
- Serve as the technical subject matter expert for assigned collection workflows, equipment, and tools. Independently diagnose complex issues involving robotics hardware, sensors, calibration, collection software, and data integrity; engage engineering partners when resolution requires deeper expertise.
- Provide critical technical direction and coaching to data collectors. Demonstrate correct execution, calibrate collectors against quality standards, and develop their troubleshooting skills and judgment.
- Assess operational and technical risks, including equipment readiness, unsafe conditions, data loss, and quality degradation. Determine when to continue, pause collection, or escalate, and coordinate recovery within established safety and technical boundaries.
- Own collection performance metrics, including usable-data yield, rework, station availability, and iteration turnaround time. Use dashboards and root-cause analysis to identify recurring issues and verify that corrective actions improve results.
- Lead operational improvement projects that reduce collection failures and iteration delays. Develop and implement reusable workflows, troubleshooting guides, readiness checks, and lightweight tooling, and drive adoption across relevant stations, shifts, and partner teams.
- Coordinate technical and nontechnical stakeholders, including researchers, engineering, operations, and annotation partners. Communicate priorities, trade-offs, risks, and decisions clearly, and escalate issues that threaten delivery commitments.
BASIC QUALIFICATIONS
- Can work proactively and independently, meet deadlines, and deliver on projects and tasks
- Bachelor's degree or above in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience diagnosing hardware, software, or process issues, using evidence to identify root causes and implement corrective actions
- Strong problem-solving and systems-thinking skills, including the ability to assess risks and make sound technical decisions with incomplete information
- Working understanding of how collection quality, task coverage, and consistency affect model training and evaluation, with the ability to translate research requirements into executable procedures and quality checks
- Demonstrated ability to train and mentor others and communicate complex information clearly to technical and nontechnical audiences, including remote teams and colleagues who use English as a second language
- Strong organizational skills, with the ability to manage competing priorities and dependencies across multiple collection tasks
PREFERRED QUALIFICATIONS
- 5+ years of experience in technical operations, engineering, technical project management, or a related role involving hands-on ownership of complex systems or workflows
- Experience developing SOPs, technical documentation, performance metrics, and process improvements, and ensuring their adoption
- Experience with robotics, teleoperation, egocentric video, or multimodal sensor data
- Experience supporting ML/AI data collection, annotation, quality assurance, or model evaluation workflows
- Familiarity with sensor calibration, timestamp synchronization, pose tracking, and data integrity checks
- Experience using vibe coding agents to build and maintain lightweight operational tools
- Experience taking an experimental workflow from initial pilot through repeatable execution across multiple stations or teams
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Francisco - 128,000.00 - 214,000.00 USD annually
DESCRIPTION
Key job responsibilities
Own the technical execution and continuous improvement of early-stage data collection for advanced robotics. Partner with researchers to translate research objectives into reliable collection workflows, improve data quality, and shorten policy training iteration cycles. Work independently within agreed priorities, providing hands-on technical guidance to data collectors and coordinating execution across research, engineering, and operations.
In this role, you will
- Own end-to-end collection iterations for assigned research tasks, from requirements and station readiness through pilot collection, quality review, and delivery of training-ready data. Coordinate dependencies and resolve blockers to meet agreed quality and turnaround goals.
- Partner with researchers to develop and refine SOPs, translating task objectives, failure modes, and evaluation feedback into clear collection instructions and acceptance criteria. Maintain version control and ensure collectors adopt changes consistently.
- Serve as the technical subject matter expert for assigned collection workflows, equipment, and tools. Independently diagnose complex issues involving robotics hardware, sensors, calibration, collection software, and data integrity; engage engineering partners when resolution requires deeper expertise.
- Provide critical technical direction and coaching to data collectors. Demonstrate correct execution, calibrate collectors against quality standards, and develop their troubleshooting skills and judgment.
- Assess operational and technical risks, including equipment readiness, unsafe conditions, data loss, and quality degradation. Determine when to continue, pause collection, or escalate, and coordinate recovery within established safety and technical boundaries.
- Own collection performance metrics, including usable-data yield, rework, station availability, and iteration turnaround time. Use dashboards and root-cause analysis to identify recurring issues and verify that corrective actions improve results.
- Lead operational improvement projects that reduce collection failures and iteration delays. Develop and implement reusable workflows, troubleshooting guides, readiness checks, and lightweight tooling, and drive adoption across relevant stations, shifts, and partner teams.
- Coordinate technical and nontechnical stakeholders, including researchers, engineering, operations, and annotation partners. Communicate priorities, trade-offs, risks, and decisions clearly, and escalate issues that threaten delivery commitments.
BASIC QUALIFICATIONS
- Can work proactively and independently, meet deadlines, and deliver on projects and tasks
- Bachelor's degree or above in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience diagnosing hardware, software, or process issues, using evidence to identify root causes and implement corrective actions
- Strong problem-solving and systems-thinking skills, including the ability to assess risks and make sound technical decisions with incomplete information
- Working understanding of how collection quality, task coverage, and consistency affect model training and evaluation, with the ability to translate research requirements into executable procedures and quality checks
- Demonstrated ability to train and mentor others and communicate complex information clearly to technical and nontechnical audiences, including remote teams and colleagues who use English as a second language
- Strong organizational skills, with the ability to manage competing priorities and dependencies across multiple collection tasks
PREFERRED QUALIFICATIONS
- 5+ years of experience in technical operations, engineering, technical project management, or a related role involving hands-on ownership of complex systems or workflows
- Experience developing SOPs, technical documentation, performance metrics, and process improvements, and ensuring their adoption
- Experience with robotics, teleoperation, egocentric video, or multimodal sensor data
- Experience supporting ML/AI data collection, annotation, quality assurance, or model evaluation workflows
- Familiarity with sensor calibration, timestamp synchronization, pose tracking, and data integrity checks
- Experience using vibe coding agents to build and maintain lightweight operational tools
- Experience taking an experimental workflow from initial pilot through repeatable execution across multiple stations or teams
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Francisco - 128,000.00 - 214,000.00 USD annually
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Find AI Data Engineer JobsAI Data Engineer Job Market in San Francisco
Who's Hiring
- Amazon Web Services34
- RNB Consultancy17R
- Amazon13
- Innovaccer13
- Rippling8
Top Industries Hiring
- Technology & Software
AI Data Engineer Jobs in San Francisco: Frequently Asked Questions
How do I get a ai data engineer job in San Francisco?
The strongest path into San Francisco's ai data engineer market is targeting the city's dense cluster of AI-native startups, cloud infrastructure companies, and biotech firms in SoMa and Mission Bay. Candidates with hands-on experience in large-scale data pipelines, ML feature stores, or real-time inference infrastructure stand out. Familiarity with the tools these companies actually use, such as Apache Spark, dbt, or Databricks, gives applicants a concrete edge over generalists.
Which companies hire ai data engineers in San Francisco?
San Francisco ai data engineer roles are posted by Amazon Web Services, RNB Consultancy, and Amazon and others right now, based on current listings on Migrate Mate as of November 2026. The local market includes a mix of well-funded AI startups, large cloud and enterprise software companies, and life sciences firms building ML-driven data platforms.
Are there remote ai data engineer jobs in San Francisco?
Yes, ai data engineering is well-suited to remote and hybrid arrangements since the work is primarily code- and pipeline-based rather than on-site. About 80% of ai data engineer openings tied to San Francisco are remote or hybrid as of November 2026, reflecting the city's tech-forward employer culture. Roles focused on data modeling, pipeline development, and ML infrastructure tend to offer the most location flexibility.
How can I get a ai data engineer job in San Francisco with little or no experience?
The most realistic entry path locally is targeting junior data engineer or analytics engineer roles at San Francisco's mid-stage startups, which often value portfolio projects and open-source contributions over formal credentials. Companies in SoMa and the Financial District frequently hire for data analyst or data platform associate positions that ladder into ai data engineering work. Building public projects on tools like Airflow, BigQuery, or LLM orchestration frameworks and contributing to local tech meetups strengthens a candidate's profile meaningfully.
Which industries hire the most ai data engineers in San Francisco?
San Francisco ai data engineer roles concentrate in Technology & Software, based on current listings on Migrate Mate as of November 2026. The city's position as a global hub for AI research, cloud computing, and biotech drives sustained demand for engineers who can build and maintain the data infrastructure these sectors depend on.
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