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Tesla Data Collection Jobs (NOW HIRING)

Tacit

Full-Stack Software Engineer

San Francisco, CA · On-site

$120K - $180K/yr

... Tesla. While we can't reveal too much just yet, our team is tackling cutting-edge engineering ... Streamline data collection pipelines and participant experiences (setup flows, session reliability ...

Specter

ML Research Engineer

San Francisco, CA · On-site

We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces ... Building and scaling a production-grade data-collection, labelling, and model re-training platform

Peak Energy

Engineering Technician

Burlingame, CA

$35 - $50/hr

... Tesla, Northvolt, Apple, Powin, Enovix, Zipline, Solid Power, and Fluence. We are backed by ... Instrument products and systems for data collection; operate test equipment safely and accurately

Peak Energy

Engineering Technician

Burlingame, CA

$35 - $50/hr

... Tesla, Northvolt, Apple, Powin, Enovix, Zipline, Solid Power, and Fluence. We are backed by ... Instrument products and systems for data collection; operate test equipment safely and accurately

Tenneco

Quality Engineer

Napoleon, OH · On-site

$69K - $90K/yr

Maintain personal computer and data collection equipment within area of responsibility * Knowledge ... Familiarity with customer portals such as Ford, Stellantis, Tesla, and etc. Equal opportunity ...

Tenneco

Quality Engineer

Napoleon, OH

$69K - $90K/yr

Maintain personal computer and data collection equipment within area of responsibility * Knowledge ... Familiarity with customer portals such as Ford, Stellantis, Tesla, and etc. Equal opportunity ...

Chef Robotics

Senior Perception Engineer

San Francisco, CA

$123K - $169K/yr

... Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year contracts and a ... Own the end-to-end ML lifecycle: data collection strategy, annotation tooling, dataset curation ...

Chef Robotics

Senior Perception Engineer

San Francisco, CA · On-site

$170K - $240K/yr

... Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year contracts and a ... Own the end-to-end ML lifecycle: data collection strategy, annotation tooling, dataset curation ...

Chef Robotics

Staff Autonomy Engineer

San Francisco, CA · On-site

$160K - $240K/yr

... Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year contracts and a ... build data collection pipelines that feed back into model retraining * Define objective ...

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How much do tesla data collection jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for tesla data collection in the United States is $25.31, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $25.96 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Tesla Data Collection Specialist, and why are they important?

To thrive as a Tesla Data Collection Specialist, you need a strong understanding of data collection methodologies, attention to detail, and typically a background in engineering, computer science, or a related field. Familiarity with data logging software, sensor calibration tools, and vehicle diagnostics systems is commonly required. Excellent communication, problem-solving abilities, and adaptability are essential soft skills for collaborating with cross-functional teams and addressing real-time challenges. These skills ensure accurate data gathering, reliable analysis, and continuous improvement of Tesla's autonomous and vehicle systems.

What are some common challenges faced in a Tesla Data Collection role, and how can I prepare for them?

In a Tesla Data Collection role, one common challenge is adapting to rapidly changing priorities as new vehicle features and data needs emerge. You may often work in the field, which requires flexibility with travel and shifting work schedules. Additionally, ensuring data accuracy while working with advanced hardware and software systems is critical. Preparing by developing strong attention to detail, adaptability, and technical troubleshooting skills will help you succeed in this dynamic environment.

Is Tesla a data collection company?

Tesla Data Collection involves gathering data from Tesla vehicles and users to improve vehicle performance, safety, and autonomous driving features. Data analysts and engineers working in this field handle large datasets using specialized tools and adhere to privacy regulations. The role requires technical skills in data management and understanding of automotive systems.

What are Tesla Data Collection jobs?

Tesla Data Collection jobs involve gathering and analyzing data to support Tesla’s autonomous driving systems, vehicle performance, and product development. Employees in these roles may be responsible for operating vehicles equipped with advanced sensors, logging driving data, troubleshooting data collection equipment, and ensuring the quality and accuracy of the collected information. These positions are crucial for improving Tesla’s Autopilot and Full Self-Driving technologies. Candidates often need a valid driver’s license, a clean driving record, and attention to detail. Technical skills and familiarity with data logging tools can be beneficial.

What is the difference between Tesla Data Collection vs Tesla Data Analyst?

AspectTesla Data CollectionTesla Data Analyst
Required CredentialsBasic data gathering skills, familiarity with data collection toolsDegree in data science, statistics, or related field; experience with data analysis software
Work EnvironmentFieldwork, on-site data gathering, or remote data collection tasksOffice-based, analyzing data sets, creating reports
Employer & Industry UsageTesla's research, product testing, and quality assurance teamsData-driven decision making, reporting, and strategic planning within Tesla

While Tesla Data Collection focuses on gathering raw data through various methods, Tesla Data Analysts interpret and analyze this data to support business decisions. Both roles are essential in Tesla's data ecosystem but differ in skills, responsibilities, and work environment.

Infographic showing various Tesla Data Collection job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $52,640 per year, or $25.3 per hour.

Robotics Research Intern, Robot Learning (Summer 2026) | PhD Internship

FieldAI

Pittsburgh, PA

$50 - $53/hr

Other

Posted 14 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
 
We are offering a Summer 2026 internship in Robot Learning for students interested in advancing embodied intelligence through large-scale learning, foundation models, and real-world robotic deployment. As a research intern, you will work closely with FieldAI researchers and engineers to explore novel approaches to robot learning and autonomy, with a focus on scalable methods that generalize across tasks and embodiments.
 
This internship is designed for PhD students who want to connect cutting-edge AI research with practical robotics systems. You will have the opportunity to design experiments, develop learning pipelines, and validate ideas on real robotic platforms, contributing directly to FieldAI's deployed autonomy stack.
What You Have:

  • Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.

  • Research experience in robot learning, reinforcement learning, imitation learning, or related areas.

  • Strong foundation in machine learning fundamentals and experimental methodology.

  • Develop multi-modal data collection platform for day/night robot navigation data collection

  • Collect high-quality datasets for reproducible and comparable research and evaluation

  • Summarize and publish learnings in high-quality robot research conference or journal

  • Ability to work independently while collaborating effectively in a research environment.

  • Strong interest in embodied intelligence and real-world robotics systems.

The Extras That Set You Apart

  • Prior experience working with real robot platforms.

  • Familiarity with ROS or ROS 2.

  • Experience with large-scale or distributed training systems.

  • Publications or open-source contributions in robotics or AI.

  • Background in perception, planning, or control for robotics.

  • Interest in bridging foundational research with deployed robotic systems.

$50 - $53 an hour
 
What You Have:

  • Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.

  • Research experience in robot learning, reinforcement learning, imitation learning, or related areas.

  • Strong foundation in machine learning fundamentals and experimental methodology.

  • Develop multi-modal data collection platform for day/night robot navigation data collection

  • Collect high-quality datasets for reproducible and comparable research and evaluation

  • Summarize and publish learnings in high-quality robot research conference or journal

  • Ability to work independently while collaborating effectively in a research environment.

  • Strong interest in embodied intelligence and real-world robotics systems.

The Extras That Set You Apart

  • Prior experience working with real robot platforms.

  • Familiarity with ROS or ROS 2.

  • Experience with large-scale or distributed training systems.

  • Publications or open-source contributions in robotics or AI.

  • Background in perception, planning, or control for robotics.

  • Interest in bridging foundational research with deployed robotic systems.

Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. 
 
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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