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Freelance Machine Learning Data Annotation Jobs in Massachusetts

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 ...

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 ...

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.

Senior AI/ML Engineer

Boston, MA · On-site +1

$113K - $155K/yr

... machine data labeling tools and pipelines that power autonomous vehicle machine learning models ... data annotation (pre‑labeling, autolabeling, active learning loops), helping us move from ...

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 ...

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 Engineer III

Boston, MA · On-site

$175K - $249K/yr

Design and implement cloud architectures tailored for end-to-end machine learning workflows (including data preprocessing, model training, and deployment), ensuring scalability, reliability, and ...

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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:
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:
Director, Data Science and Machine Learning

Director, Data Science and Machine Learning

Flagship Pioneering, Inc.

Cambridge, MA • On-site

Full-time

Medical, Retirement

Posted 29 days ago


Job description

Company Description
FL121 is a privately held biotechnology company engineering nature to build next generation peptide therapeutics. By harnessing naturally occurring chemistry and pairing it with sophisticated high-throughput screening technology, we will unlock the future of de novo drug design via curated data creation and model training.
Role
FL121 is seeking a talented and highly motivated Director (Data Science/ Machine Learning). We're looking for a resourceful computational problem solver and agile leader, someone who is not only scientifically rigorous and accountable for their and their team's work, but also has a high EQ and is a motivating force within cross-functional teams. The ideal candidate brings a track record of building computationally strong data environments, developing predictive models based upon internal and external databases, driving results in a fast paced and demanding environment, and enabling others to do their best work, all while communicating with clarity and empathy.
Key Responsibilities
  • Pioneer and lead computational efforts for FL121's platform science
  • Develop a data-framework and database for tracking DNA translation to chemistry, and chemistry to drug-characteristics in partnership with platform team
  • Strategically map out chemical representation optionality and develop framework for platform chemistry that can scale with data
  • Lead base-case chemical prediction models that can scale with data and forecast and scope data needs to enable models to have strong predictive power
  • Build and support computational capabilities to unlock de-novo mass spec deconvolution models
  • Integrate computational efforts across all platform workstreams to create a cohesive data-collection and integration workplace
  • Serve as a cross-functional program lead, guiding interdisciplinary teams of computational scientists, mass-spec scientists, medicinal chemists, and synthetic biologists toward shared goals.
  • Communicate computational goals, progress, and key decisions clearly across audiences, from scientists to executives, tailoring messaging with clarity and intention.
  • Build and manage budgets, thoughtfully allocating in-house and external resources to maximize impact while remaining cost-conscious and efficient.
  • Serve as a trusted, people-first leader fostering a collaborative, psychologically safe team environment that supports the scientific and personal development of team members.
  • Lead with authenticity and transparency, encouraging open dialogue, surfacing diverse perspectives, and engaging in courageous conversations when needed.

Professional Experience and Qualifications
  • Masters or PhD in a relevant field (e.g., computational chemistry, machine learning, data science, etc) with 10+ years' experience in scientific/engineering/computational settings in biotechnology settings; industry AI/ML experience preferred
  • Experience driving results directly or indirectly through teams of scientists and engineers in varied technical environments
  • Depth across multiple core tools and concepts, including, Python, modern ML frameworks (RDKit, scikit-learn, Chemprop, etc), version control, databases, deep learning architectures, and relevant informatics software (AWS, Seqera, Benchling, etc)
  • Demonstrated success as a team-oriented leader who motivates others and builds strong, trust-based relationships across functions
  • Proven ability to lead complex, cross-functional programs balancing scientific vision with disciplined execution and strategic resource management
  • Track record of intellectual agility and curiosity, with an ability to adapt quickly, think critically, and lead through ambiguity.
  • Strong emotional intelligence, with demonstrated maturity in navigating interpersonal dynamics, providing feedback, and supporting the growth of PhD and non-PhD scientists.
  • Exceptional communication skills, both written and verbal, with a consistent ability to convey complex ideas clearly and succinctly to diverse stakeholders.
  • A people-first, enterprise-minded approach that uplifts others, builds cohesion, and drives a culture of collaboration and accountability.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.
Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, "FSP") do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.
Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.
The salary range for this role is $232,000 - $319,000. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. FL121 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL121's good faith estimate as of the date of publication and may be modified in the future.
Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.