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Freelance Machine Learning Data Annotation Jobs in Massachusetts

IPG Photonics

Intern, Engineering

Marlborough, MA · On-site

$17.25 - $22.50/hr

Interest in machine learning, data annotation, or computer vision concepts * Experience with MS Office products (Word, Excel, PowerPoint) * Strong analytical and problem-solving skills Personal ...

IMC Inc

Machine Learning Engineer

Dorchester, MA

$175K - $250K/yr

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a ... Design scalable model frameworks capable of handling high-volume trading data and delivering real ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

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Freelance Machine Learning Data Annotation information

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 the most commonly searched types of Machine Learning Data Annotation jobs in Massachusetts? The most popular types of Machine Learning Data Annotation jobs in Massachusetts are:
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Freelance Machine Learning Data Annotation jobs near you
Atlas Data Operations Annotation Manager

Atlas Data Operations Annotation Manager

Boston Dynamics

Waltham, MA • On-site

Full-time

Posted 11 days ago

Job description

Job Summary:
Boston Dynamics is a world leader in mobile robots, tackling some of the toughest robotics challenges. They are seeking a highly organized and technically-minded Annotation Manager to lead a team of Annotation Leads and QA Leads, manage relationships with third-party vendors, and ensure the quality and consistency of data annotations for Atlas's machine learning systems.
Responsibilities:
• Directly manage a team of Annotation Leads and Annotation QA Leads, providing day-to-day direction, prioritization, coaching, and performance feedback.
• Serve as the Atlas working team lead for third-party annotation vendors, managing task allocation, performance accountability, and dual-source relationships to optimize cost and quality.
• Own the end-to-end quality of annotation output by partnering with ML Leads to establish and enforce quality benchmarks, monitor throughput and error rate metrics, and serve as the primary escalation point for labeling guideline ambiguities.
• Write SOP’s and technical/process/policy documents for the annotation team to follow
• Forecast forward-looking annotation needs across all Atlas engineering stakeholders and drive continuous improvement initiatives including tooling feedback, workflow redesign, and SOP maintenance.
Qualifications:
Required:
• Proven experience managing teams in a data annotation or machine learning data pipeline environment required
• Strong familiarity with annotation concepts and tooling platforms
• Strong computer proficiency with familiarity in ML data pipelines or computer vision
• Exceptional organizational and communication skills required
Preferred:
• Bachelor's degree in a technical field, data science, or cognitive science preferred
• Prior experience managing third-party annotation vendors strongly preferred
Company:
Boston Dynamics is an engineering company that specializes in building dynamic robots and software for human simulation. It is a sub-organization of Hyundai Motor Company. Founded in 1992, the company is headquartered in Waltham, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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