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Freelance Machine Learning Data Annotation Jobs in Boston, MA

Experience working with real-time data, large datasets, brain-computer Interface, and/or EEG data ... in various machine and deep learning applications/design especially regarding neural networks ...

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

Partner with Data Scientists to transform research algorithms into robust, production-quality software. * Implement machine learning algorithms in high-performance C++ and Python with a focus on ...

New

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from ...

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from ...

The role involves ownership of technical decisions for building and deploying state-of-the-art machine learning models, requiring a strong background in data engineering and model training.

Prior experience selling data annotation, synthetic data, or ML training data products * Deep functional understanding of machine learning workflows -- model training, data pipelines, MLOps, and the ...

Machine Learning Tutor

Lowell, MA · Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Quincy, MA · Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Lynn, MA · Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Newton, MA · Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Waltham, MA · Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Freelance Machine Learning Data Annotation information

See Boston, MA salary details

$14

$23

$38

How much do freelance machine learning data annotation jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for freelance machine learning data annotation in Boston, MA is $23.76, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $27.16 per hour, depending on experience, location, and employer.

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

What are the key skills and qualifications needed to thrive as a Freelance Machine Learning Data Annotation specialist, and why are they important?

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.
What are popular job titles related to Freelance Machine Learning Data Annotation jobs in Boston, MA? For Freelance Machine Learning Data Annotation jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Data Annotation jobs in Boston, MA look for? The top searched job categories for Freelance Machine Learning Data Annotation jobs in Boston, MA are:
Infographic showing various Freelance Machine Learning Data Annotation job openings in Boston, MA as of July 2026, with employment types broken down into 2% Locum Tenens, 28% Full Time, 20% Part Time, 16% Contract, 33% Nights, and 1% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $49,413 per year, or $23.8 per hour.

Full-time

Posted 18 days ago


Job description

You will manage a blended team of machine learning modelers, infrastructure experts, and data engineers. This team builds data and algorithm-driven platforms as well as ML-oriented features in existing platforms. The team also directly supports our focused Research Projects. Successful individuals on our team tend to operate with autonomy and alacrity, with strong customer/stakeholder empathy, and an ability to drive outcomes across the entire engineering stack from data ingestion through modeling and into deployment and maintenance.

What You will Do
  • Provide both highly technical leadership and effective people management to manage a team of engineers responsible for going from ideation to data acquisition to modeling to deployment and maintenance, serving our internal customers
  • Attract, recruit, hire, and develop a high-performing ML and Data Engineering team
  • Drive technical excellence, operational maturity, and code quality within your team
  • Drive and influence strategy, roadmap creation and execution for the ML and Data Engineering teams by working cross-functionally with stakeholders from other Engineering and Research Project teams
  • Provide strong leadership to the team, fostering a culture of collaboration, innovation, and continuous improvement
  • Collaborate with the other Engineering teams in Software, Hardware, Dev & MLOps and Test Operations to deliver on cross-functional features and capabilities
  • Get your hands dirty, and build things with us
What You Will Need
  • Ph.D. or equivalent in Computer Science or related field AND 6 or more years full-time Software Engineering work experience; OR
  • 10 years full-time Software Engineering work experience, which includes 6+ years of software engineering experience in one or more of the following areas: computer vision, natural language processing, foundational model training, reinforcement learning
  • At least 4 years experience in managing high-performing teams in Machine Learning and Data Engineering
  • Proven track record managing and scaling machine-learning teams
  • Excellent interpersonal and communication skills with the ability to collaborate with diverse stakeholders
  • Strong analytical and problem-solving abilities, with a focus on data-driven decision-making
Additional Qualifications
  • Experience managing machine learning teams at two or more companies
  • Experience training and deploying ML Models for robotics
  • Experience with robotics toolkits (ROS/ROS2)Experience with big data and orchestration systems in production: eg, Spark, Ray, Airflow DevOps experience (e.g. CI/CD Pipelines, Infrastructure as Code, Containers)
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