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Freelance Machine Learning Data Annotation Jobs in Waltham, MA

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · On-site

$83 - $124/hr

... Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

... Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

... Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · On-site

$34.44/hr

... Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

... Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

... Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning ...

Neurable, INC

Machine Learning

Cambridge, MA · On-site

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 ...

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Freelance Machine Learning Data Annotation information

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

As of Aug 23, 2026, the average hourly pay for freelance machine learning data annotation in Waltham, MA is $23.59, according to ZipRecruiter salary data. Most workers in this role earn between $18.65 and $26.97 per hour, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a freelance machine learning data annotation specialist?

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 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 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.

Can I work for freelance machine learning data annotation with no experience?

Freelance machine learning data annotation jobs often do not require prior experience, as many tasks involve simple labeling or categorization that can be learned quickly. Basic computer skills, attention to detail, and familiarity with annotation tools are helpful, and training is usually provided. However, building a portfolio or gaining some familiarity with data annotation platforms can improve job prospects.

What job categories do people searching Freelance Machine Learning Data Annotation jobs in Waltham, MA look for?

The top searched job categories for Freelance Machine Learning Data Annotation jobs in Waltham, MA are:

What cities near Waltham, MA are hiring for Freelance Machine Learning Data Annotation jobs?

Cities near Waltham, MA with the most Freelance Machine Learning Data Annotation job openings:

Freelance Machine Learning Data Annotation jobs near you
Infographic showing various Freelance Machine Learning Data Annotation job openings in Waltham, MA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $49,069 per year, or $23.6 per hour.

Senior Machine Learning Data Engineer - Cambridge

Motion Recruitment Partners, LLC

Cambridge, MA • On-site

$125K - $150K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description


A fast-growing robotics company is seeking a Senior Machine Learning Data Engineer to help develop the data foundation that powers intelligent robotic systems operating in high-throughput logistics environments. The organization builds AI-driven automation solutions that leverage computer vision, machine learning, and robotic manipulation to solve complex real-world challenges involving package handling, object identification, and operational optimization.
As a Senior Machine Learning Data Engineer, you will focus on the collection, preparation, management, and delivery of data used to train, evaluate, and improve machine learning models. Unlike traditional data engineering positions that concentrate on analytics, reporting, or platform infrastructure, this role is centered on enabling AI and computer vision teams to build more accurate and effective robotic systems.
You will work closely with machine learning engineers, roboticists, software developers, and product teams to create scalable data pipelines capable of handling large volumes of image, video, sensor, and operational data. The ideal candidate enjoys solving challenges surrounding data labeling, feature generation, model training datasets, data versioning, and machine learning infrastructure. This role offers the opportunity to directly influence how AI systems learn and improve within a cutting-edge robotics environment.
Required Skills & Experience
  • Strong proficiency with Python and SQL
  • Experience building data pipelines for machine learning workloads
  • Experience working with large-scale image, video, or sensor datasets
  • Knowledge of data processing frameworks such as Spark or Ray
  • Experience with cloud platforms such as AWS
  • Understanding of data modeling and storage solutions for ML applications
  • Experience building ETL workflows and automation solutions
  • Familiarity with machine learning lifecycle concepts
  • Experience with version control and software engineering best practices
  • Strong problem-solving and analytical skills

Desired Skills & Experience
  • 5+ years of Data Engineering or Machine Learning Infrastructure experience
  • Experience supporting computer vision or AI-focused teams
  • Robotics, automation, or industrial technology experience
  • Familiarity with model training workflows and feature engineering
  • Experience with annotation platforms and data labeling operations
  • Knowledge of MLOps tools and practices
  • Experience working with unstructured datasets
  • Bachelor's degree in Computer Science, Data Engineering, Engineering, Mathematics, or a related field

What You Will Be Doing
Daily Responsibilities
  • 100% Hands On
  • Build and maintain machine learning data pipelines supporting robotics and AI initiatives
  • Develop processes that prepare image, video, and sensor datasets for model training
  • Partner with machine learning teams to improve the quality and accessibility of training data
  • Design scalable storage and retrieval solutions for large unstructured datasets
  • Create data validation processes that improve model reliability and performance
  • Support feature engineering, experimentation, and dataset generation workflows
  • Implement automation that reduces manual effort in data preparation and curation
  • Monitor data pipelines and resolve issues impacting model development
  • Optimize data processing workflows for performance and scalability
  • Contribute to the evolution of machine learning infrastructure and data best practices

The Offer
  • Bonus OR Commission eligible

You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k) (including match, if applicable)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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