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Freelance Machine Learning Data Annotation Jobs in Massachusetts

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended ...

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended ...

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.

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

... machine learning-based solutions to solve challenging problems related to national security. Our ... Our projects span multiple different data modalities and incorporate advanced algorithms, deep ...

... machine learning-based solutions to solve challenging problems related to national security. Our ... Our projects span multiple different data modalities and incorporate advanced algorithms, deep ...

... machine learning-based solutions to solve challenging problems related to national security. Our ... Our projects span multiple different data modalities and incorporate advanced algorithms, deep ...

... machine learning-based solutions to solve challenging problems related to national security. Our ... Our projects span multiple different data modalities and incorporate advanced algorithms, deep ...

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 ...

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

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

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 ...

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

Boston, 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 ...

Showing results 21-40

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?

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:
What are popular job titles related to Freelance Machine Learning Data Annotation jobs in Massachusetts? For Freelance Machine Learning Data Annotation jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Data Annotation jobs in Massachusetts look for? The top searched job categories for Freelance Machine Learning Data Annotation jobs in Massachusetts are:
What cities in Massachusetts are hiring for Freelance Machine Learning Data Annotation jobs? Cities in Massachusetts with the most Freelance Machine Learning Data Annotation job openings:

Data Infrastructure & ML Engineer (Hybrid Role)

Axcelis

Beverly, MA • Hybrid

$122K - $183K/yr

Full-time

Re-posted 28 days ago


Job description

JOB DESCRIPTION

Job Description: Data Infrastructure & ML Engineer (Hybrid Role)

Role Summary

We are seeking a Senior Data Infrastructure & Machine Learning Engineer to design and implement scalable data systems and pipelines that support advanced analytics and machine learning workflows.

This is a hybrid role where the primary focus is on data pipeline engineering and Python-based data processing, supported by strong database design and management expertise.

Role Focus (Approximate Split)

  • Data Pipeline Engineering & Data Flow (Critical): ~50%
  • Python & Machine Learning Data Processing: ~30%
  • Database Design & Management: ~20%

Key Responsibilities

1. Data Pipeline Engineering (Primary Responsibility)

  • Design and build end-to-end data pipelines (ETL/ELT) for ingesting, processing, and transforming data.
  • Handle multiple data sources including:
    • Tool-generated logs (e.g., AT log files)
    • JSON and semi-structured data
  • Ensure full data traceability, enabling backward tracking of all data points.
  • Implement validation, monitoring, and error handling to ensure data quality and reliability.

2. Database Design & Data Architecture

  • Design and manage scalable database schemas.
  • Support both single-node and distributed database environments.
  • Implement tablespaces, partitioning, and sharding strategies to ensure performance and scalability.
  • Optimize queries and maintain high performance for large-scale datasets.

3. Python-Based Data Processing & Analytics

  • Develop data processing workflows using Python.
  • Work extensively with dataframes for transformation and analysis.
  • Utilize libraries such as:
    • Pandas, NumPy for data manipulation
    • Plotly (or similar) for visualization and exploratory analysis
  • Automate data workflows and integrate them into pipelines.

4. Machine Learning Data Enablement

  • Prepare and transform datasets for machine learning models.
  • Collaborate with data scientists and engineers to support model training and deployment workflows.
  • Enable scalable data foundations for AI/ML integration into production systems.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field with 5+ years of experience.
  • Strong experience in database design and SQL-based systems.
  • Hands-on experience with distributed systems, partitioning, and sharding.
  • Proven experience building data pipelines (ETL/ELT).
  • Strong proficiency in Python for data processing.
  • Experience working with log-based and semi-structured data (e.g., JSON).
  • Understanding of data traceability, validation, and governance.

Preferred Qualifications

  • Experience with time-series or log analytics systems.
  • Exposure to real-time/streaming architectures (e.g., Kafka).
  • Experience with cloud platforms (Azure, AWS, or GCP).
  • Familiarity with machine learning workflows and lifecycle.
  • Domain experience in semiconductor or high-throughput systems (nice to have).

Key Competencies

  • Strong problem-solving and analytical skills.
  • Ability to design production-grade, scalable systems.
  • Focus on data integrity, performance, and reliability.
  • Effective collaboration across engineering and data teams.
  • Clear communication and documentation.

EQUAL OPPORTUNITY STATEMENT


It is the policy of Axcelis to provide equal opportunity in all areas of employment for all persons free from discrimination based on race, sex, religion, age, color, national origin, disability status, medical condition (including pregnancy), veteran status, sexual orientation, marital status, or any other characteristic protected by federal, state or local law. Axcelis will provide reasonable accommodation necessary to enable a disabled candidate or employee to perform the essential functions of the position, unless the accommodation would create an undue hardship for the Company.

U.S. BASE SALARY RANGE

$122,133.07 - $183,199.61

This base salary range reflects the typical compensation for this role across U.S. locations.

Our salary ranges are determined by role and level; individual pay is determined based on

multiple factors, including job-related skills, experience, relevant education or training, work

location, and internal equity. The range provides the opportunity for growth and progression as

you develop within the role.

Base pay is one part of our U.S. total compensation package which includes eligibility in the

Axcelis Team Incentive bonus plan, and comprehensive benefits package (for regular

employees working 20+ hours a week).