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Google Annotation Jobs in Cambridge, MA (NOW HIRING)

Motional

Senior Software Engineer, ML Evaluation

Boston, MA · On-site +1

$159K - $207K/yr

Work with annotation specialists to build high-quality evaluation datasets. * Provide statistical ... Experience with cloud platforms such as AWS, Google Cloud, or Azure. * Experience with machine ...

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Google Annotation information

See Cambridge, MA salary details

$49.2K

$63.8K

$106.6K

How much do google annotation jobs pay per year?

As of Aug 8, 2026, the average yearly pay for google annotation in Cambridge, MA is $63,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,100.00 and $63,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Google Annotation position, and why are they important?

To thrive as a Google Annotation Specialist, you need strong attention to detail, analytical skills, and a basic understanding of data labeling principles, often supported by a background in computer science or related fields. Familiarity with annotation tools such as Labelbox, internal Google platforms, and spreadsheet software is typically required. Strong communication, time management, and the ability to follow detailed guidelines make candidates stand out in this position. These skills and qualities are vital to ensure high-quality labeled data, which is essential for training accurate machine learning models and supporting AI development.

What is a Google Annotation?

A Google Annotation job involves labeling, tagging, or categorizing data—such as images, videos, or text—to help train machine learning models. Annotators follow specific guidelines to ensure accuracy and consistency in their work. This role is crucial for improving AI systems used in search, automation, and recognition technologies. The job may require attention to detail and familiarity with different annotation tools.

What does a typical day look like for someone working in Google Annotation?

As a Google Annotation Specialist, your day often involves reviewing and labeling large volumes of data—such as images, text, or audio—according to specific project guidelines. You will work both independently and in collaboration with quality assurance teams to ensure consistency and accuracy in your annotations. Regular feedback sessions and periodic revisions are common as project requirements evolve. Many teams work in a fast-paced, deadline-driven environment, and attention to detail is key to meeting quality standards and supporting vital AI initiatives.

What are popular job titles related to Google Annotation jobs in Cambridge, MA? For Google Annotation jobs in Cambridge, MA, the most frequently searched job titles are:
What job categories do people searching Google Annotation jobs in Cambridge, MA look for? The top searched job categories for Google Annotation jobs in Cambridge, MA are:
Google Annotation jobs near you
Infographic showing various Google Annotation job openings in Cambridge, MA as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 68% Physical, 2% Hybrid, and 30% Remote job distribution, with an average salary of $63,846 per year, or $30.7 per hour.

Senior Software Engineer, ML Evaluation

Motional

Boston, MA • On-site

$159K - $207K/yr

Full-time

Re-posted 17 days ago

Job description

Mission:

We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and statistical analysis.

At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior.

The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results.

What You'll Do:

  • Work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and KPI's for the validation of the autonomous vehicle performance.
  • Drive innovation by researching and developing new large scale data analysis systems.
  • Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
  • Work with annotation specialists to build high-quality evaluation datasets.
  • Provide statistical depth on model performance & generalization through rigorous error and change analysis.
  • Read, understand, and modify complex codebases written in Python and SQL.

What We're Looking For:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Strong programming skills in Python and scientific computing frameworks (NumPy, Pandas, etc.).
  • Experience in machine learning, data mining, and statistical analysis.
  • Experience with large-scale data processing and distributed computing technologies.
  • Strong communication and software development skills: goal setting, design documentation, test frameworks, collaborative cross team development.

Bonus Points:

  • Ph.D. in Computer Science or a related field.
  • Experience with cloud platforms such as AWS, Google Cloud, or Azure.
  • Experience with machine learning in the autonomous driving domain.
  • Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
  • Familiarity with C++ and comfort reading and navigating existing C++ code.
  • Experience with large-scale data processing and distributed computing technologies.
  • Basic fluency with modern web frameworks and Go.
  • Publications or contributions to the AI/ML community.

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range
$159,000—$207,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.