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Freelance Tesla Computer Science Jobs in Massachusetts

LILT, Inc

Production Manager, Applied AI

Boston, MA · On-site

$110K - $145K/yr

Has hired, ramped, performance-managed, and offboarded hourly and freelance staff across regions ... Background in ML engineering, computer science, or data science. Our Story Our founders, Spence and ...

New

FUJIFILM Biotechnologies

QualificationsAssociates degree in electrical engineering, electronics or computer science ... The position may require the ability to physically work in high magnetic fields of up to 3 Tesla ...

Formlabs

Software Product Designer

Somerville, MA · On-site

$110 - $165/hr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Computer Science background or coding experience.* Experience with Qt, QML, or OpenGL.**Our ...

Formlabs

Software Product Designer

Somerville, MA · On-site

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Computer Science background or coding experience. * Experience with Qt, QML, or OpenGL. Our ...

Socket.dev

Software Product Designer

Somerville, MA · On-site

$110 - $165/hr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Computer Science background or coding experience. * Experience with Qt, QML, or OpenGL. Our ...

Formlabs

Head of Software Product Management

Somerville, MA · On-site

$254K - $266K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Preferably have a computer science or embedded engineering background * At least 5 years of ...

Formlabs

NPI Operations Program Manager

Somerville, MA · On-site

$95K - $130K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Mechanical, electrical, computer science * Willingness and ability to travel internationally ...

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Freelance Tesla Computer Science information

What does a freelance Tesla computer science professional do?

A Freelance Tesla Computer Science professional typically works on projects related to Tesla's software, data analysis, or systems development, but as an independent contractor rather than a full-time employee. Their work may involve developing applications for electric vehicles, optimizing algorithms for autonomous driving, or analyzing large datasets for machine learning models. These professionals use their computer science expertise to solve complex problems, often collaborating remotely with Tesla teams or clients. Freelancers enjoy flexible schedules and the ability to choose their projects, but also need to manage their own business operations.

How do freelance computer science professionals collaborate with Tesla teams on projects?

As a freelance computer science professional working with Tesla, you’ll typically engage in remote collaboration with in-house teams using project management and communication tools like Slack, Jira, or Trello. You may participate in regular virtual meetings to discuss progress, align on project goals, and address technical challenges. While you’ll have autonomy in your daily work, maintaining clear communication and timely updates is crucial for project success. Collaboration often involves integrating your code with existing systems, participating in code reviews, and adapting quickly to Tesla’s fast-paced, innovative environment.

What are the key skills and qualifications needed to thrive as a freelance computer scientist working with Tesla, and why are they important?

To thrive as a freelance computer scientist for Tesla, you generally need a strong background in computer science, programming (especially Python, C++, or Java), and relevant experience in areas like artificial intelligence, machine learning, or embedded systems. Familiarity with development tools such as Git, cloud platforms (AWS, Azure), and Tesla's proprietary software or APIs is often required. Excellent problem-solving abilities, adaptability, and proactive communication make a freelancer stand out in this fast-paced, innovative environment. These skills and qualities are crucial for delivering high-quality, timely solutions that align with Tesla's technological standards and project needs.

What are popular job titles related to Freelance Tesla Computer Science jobs in Massachusetts?

For Freelance Tesla Computer Science jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Freelance Tesla Computer Science jobs in Massachusetts look for?

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Freelance Tesla Computer Science jobs near you
Infographic showing various Freelance Tesla Computer Science job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Senior Research Engineer, Humanoid Manipulation

FieldAI

Boston, MA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.

We are looking for a Research Engineer to join our growing humanoid manipulation efforts. In this role, you will work at the intersection of robotics research and applied engineering, building, testing, and refining manipulation capabilities that accelerate autonomous control and loco-manipulation on humanoid robots. You will collaborate closely with research scientists, engineers, and product partners to design novel manipulation strategies and deliver systems that directly feed into Field AI’s robot learning pipelines.
 
You will also play a key role in advancing robotics foundation models designed to be embodiment agnostic, with an initial focus on humanoid platforms. This role is about pushing the frontier of manipulation research while ensuring that breakthroughs translate into practical, scalable autonomy in real-world environments.
What You’ll Get To Do
  • Advance Humanoid Manipulation Research and Development
  • Design, implement, and evaluate manipulation strategies for humanoid robots across a wide range of tasks.
  • Drive projects from early concepts through on-robot testing and deployment.
  • Contribute to loco-manipulation capabilities that integrate perception, control, and planning.
  • Build Systems That Bridge Research and Deployment
  • Translate research ideas into reliable robotic systems that operate in real-world conditions.
  • Ensure systems are robust, reproducible, and aligned with data collection and learning objectives.
  • Develop experimental infrastructure to support rapid iteration and evaluation.
  • Collaborate Across Disciplines
  • Partner with mechanical and electrical engineers on hardware integration and system bring-up.
  • Work closely with teleoperators and field teams to refine interfaces and improve manipulation performance.
  • Act as a connective layer between autonomy research and applied robotics engineering.
  • Rapidly Iterate and Deliver
  • Prototype quickly, run experiments on hardware, and validate results in the field.
  • Balance exploratory research with concrete deliverables that support near-term goals.
  • Debug complex system-level issues spanning software, hardware, and learning.
What You Have
  • Bachelor’s, Master’s, or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field.
  • 4+ years of hands-on experience in robotic manipulation in academic or industry settings.
  • Strong foundation in robot kinematics, dynamics, and control, with a focus on manipulation.
  • Proven experience implementing and evaluating robotic systems on real hardware.
  • Ability to work effectively in fast-paced, highly collaborative environments.
  • Curiosity, ownership, and the confidence to challenge assumptions and propose new approaches.
The Extras That Set You Apart
  • Experience working with humanoid robots or multi-fingered robotic hands.
  • Background in learning-based manipulation, including imitation learning or reinforcement learning.
  • Familiarity with teleoperation systems and human-in-the-loop data collection.
  • Publications or open-source contributions in top robotics venues.
  • Experience with large-scale robotics data collection and dataset management.
  • Strong interest in bridging cutting-edge research with field-ready robotic systems.
Why Join Field AI?
FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.
 
You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.
 
Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.
 
Be Part of the Next Robotics Revolution
Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.
We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.
 
Equal Opportunity
FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.