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Senior Data Annotation Analyst Jobs in Boston, MA

Senior Data Engineer

Boston, MA ยท On-site

$194K/yr

This role enables enterprise analytics by delivering clean, timely and well-structured data to platforms such as Power BI. The Senior Data Engineer collaborates closely with architects, analysts and ...

... Senior Data Scientist, International will be responsible for implementing, training and testing ... Design A/B tests of the Data Science team's models and analyze their results * Communicate ...

The Data Systems Analyst serves as an independent quality function within the Data Engineering organization, partnering closely with business stakeholders, data engineers, data architects, product ...

Sr. Data Scientist

Framingham, MA ยท On-site

$120 - $165/hr

Communicate results, analyses, and methodologies to technical and nonโ€‘technical senior level ... MS or PhD in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field ...

Senior Data Scientist

Boston, MA ยท On-site

$100 - $130/hr

Collaborate with senior data scientists to develop and improve our analytical platforms * Work alongside clinical and biological experts to translate complex problems into technical solutions ...

Senior Data Engineer

Boston, MA ยท On-site

$194K/yr

This role enables enterprise analytics by delivering clean, timely and well-structured data to platforms such as Power BI. The Senior Data Engineer collaborates closely with architects, analysts and ...

Senior Data Engineer

Woburn, MA ยท Hybrid

$115K - $157K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 ... Perform capacity analysis; recommend and implement capacity increases for data platform performance ...

Senior Data Engineer

Boston, MA ยท On-site

$165K - $185K/yr

The Senior Data Engineer will help Geode build a modern, cloud native data and analytics platform centered around technologies such as AWS, Snowflake, DBT, Snaplogic, and Python. This role is based ...

Senior Data Engineer

Boston, MA ยท Hybrid

$165K - $185K/yr

The Senior Data Engineer will help Geode build a modern, cloud native data and analytics platform centered around technologies such as AWS, Snowflake, DBT, Snaplogic, and Python. This role is based ...

Senior Data Scientist

Boston, MA ยท On-site

$78.70 - $138.20/hr

The individual in this role will support modeling, data analysis, and database needs for the ... Under direction of the Sr. Leader, collaborate with business leaders and/or analysts to provide ...

Senior Data Architect

Boston, MA ยท On-site

$130K - $189K/yr

Job Summary The Senior Data Architect is responsible for architecting Northeastern University ... Strong problem-solving, analytical thinking, and architectural documentation skills. * Ability to ...

Data science, machine learning, and analytics are a crucial part of this mission. These ... We are looking for Senior Data Scientist, ideally with a background in supply chain modeling and ...

Senior Data Architect

Boston, MA ยท On-site

$130K - $189K/yr

Job Summary The Senior Data Architect is responsible for architecting Northeastern University ... Strong problem-solving, analytical thinking, and architectural documentation skills. * Ability to ...

The individual in this role will support modeling, data analysis, and database needs for the ... Under direction of the Sr. Leader, collaborate with business leaders and/or analysts to provide ...

Showing results 41-60

Senior Data Annotation Analyst information

See Boston, MA salary details

$59.8K

$107.8K

$147.2K

How much do senior data annotation analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior data annotation analyst in Boston, MA is $107,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,400.00 and $117,900.00 per year, depending on experience, location, and employer.

What is a senior data annotation analyst?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

What are the key skills and qualifications needed to thrive as a senior data annotation analyst?

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a senior data annotation analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

What are the most commonly searched types of Data Annotation Analyst jobs in Boston, MA? The most popular types of Data Annotation Analyst jobs in Boston, MA are:
What cities near Boston, MA are hiring for Senior Data Annotation Analyst jobs? Cities near Boston, MA with the most Senior Data Annotation Analyst job openings:

Senior Data Engineer

Paul Hastings

Boston, MA โ€ข On-site

$194K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Paul Hastings is a leading international law firm that provides innovative legal solutions to many of the world's top financial institutions and Fortune Global 500 companies. With a strong presence throughout the U.S., Asia, Europe, Latin America, and the Middle East, we have the global reach and extensive capabilities to provide personalized service wherever our clients' needs take us. As one of the world's leading law firms, we seek dynamic individuals who share our commitment to service, innovation, and professional growth.

Job TitleSenior Data EngineerLocationAtlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New YorkRegular/TemporaryRegularJob Description SummaryWe have an opening for a Senior Data Engineer.
The Senior Data Engineer is responsible for designing, building and maintaining modern data pipelines and data integration solutions in the Azure Cloud. This role enables enterprise analytics by delivering clean, timely and well-structured data to platforms such as Power BI. The Senior Data Engineer collaborates closely with architects, analysts and business stakeholders to deliver scalable, secure and efficient data solutions using Azure Data Factory, Azure Data Lake Storage (ADLS), Databricks, and Azure DevOps.Job Description

In this capacity, the Senior Data Engineer will:

  • Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake Storage (ADLS) andAzure Databricks;
  • Develop ELT frameworks for ingesting and transforming structured and semi-structured data from on-prem and cloud sources;
  • Implement robust DevOps pipelines for code versioning, testing, deployment and monitoring usingAzure DevOps;
  • Ensure pipeline performance, reliability and observability using tools like Azure Monitor and Log Analytics;
  • Collaborate with BI teams to support Power BI datasets and ensure optimal data model performance;
  • Automate environment setup, configuration and permissions using infrastructure-as-code where possible;
  • Write modular, testable code inPython or PySpark and manage version control with Git;
  • Support production operations, root cause analysis and performance tuning;
  • Maintain technical documentation for pipelines, data mappings and deployment processes;
  • Work as part of an Agile delivery team, participating in sprints, retrospectives and code review; and
  • Mentor junior data engineers and promote best practices in CI/CD, version control, and release management.

Proficiencies:

  • Advanced proficiency inAzure Data Factory,Azure Data Lake Storage (Gen2) andAzure Databricks;
  • Experience building and managingCI/CD pipelines in Azure DevOpsfor data solutions;
  • Strong SQL and ELT experience; familiarity with schema design (e.g., star, snowflake, denormalized);
  • Hands-on expertise withPySparkandDatabricks notebooks, including Delta Lake workflows;
  • Familiarity withGit, branching strategies and repository management withinAzure Repos;
  • Understanding of data security and privacy best practices in Azure (RBAC, managed identities, encryption);
  • Experience with Power BI dataflows, datasets and refresh configuration (preferred);
  • Familiarity with data cataloging and governance tools (e.g.,Microsoft Purview) a plus; and
  • Experience with Agile tools such as Azure Boards or JIRA.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering or related field (required);
  • 7+ years of data engineering or BI development experience;
  • 3+ years building data solutions inMicrosoft Azure Cloud;
  • 2+ years usingAzure DevOpsfor automated builds, releases and pipeline orchestration;
  • Proven experience working with structured and semi-structured data (Parquet, JSON, Avro); and
  • Experience in professional services, legal, or financial environments preferred.

The salary wage range for New York that we expect to pay for this position is a minimum of $134,500 and a maximum of $194,750 annually. The actual pay wage may vary based on experience or other relevant factors.

The salary wage range for Los Angeles that we expect to pay for this position is a minimum of $125,800 and a maximum of $182,450 annually. The actual pay wage may vary based on experience or other relevant factors.

The salary wage range for Boston that we expect to pay for this position is a minimum of $134,500 and a maximum of $194,750 annually. The actual pay wage may vary based on experience or other relevant factors.

Employees will be provided with an excellent career opportunity in a collaborative environment, in addition to a generous total compensation package with the opportunity to earn bonuses based on individual contribution and firm profitability.

The actual salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location in which the applicant lives and/or from which they will be performing the job. This role is exempt meaning it is not overtime pay eligible.

Eligible employees can participate in the Firm's comprehensive benefits program, which include the following:

  • Medical, Dental, Vision, Life/AD&D, Long Term Care, and Short- and Long-Term Disability

  • Flexible Spending Accounts and Health Savings Account

  • Healthcare Concierge and Advocacy

  • Lifestyle Spending Account

  • Voluntary 401(k) Plan and Profit Sharing

  • 10 Paid Holidays per year and a generous PTO Program

  • Family Support including Paid Parental Leave, Fertility Benefits, Breast Milk Shipping, Back-up Child Care, Elder Care, and Tutoring

  • Wellbeing programs (Employee Assistance Program, Relationship Support, Mental Health, Menopause and Midlife Health and Well-Being Events)

  • Retirement Plan Consulting

  • Anniversary Bonus Program

  • Professional Development Programs

  • Transportation and Commuter Benefits

  • International Travel Insurance

  • Critical Illness, Hospital Indemnity and Accident Insurance

  • Auto/Home/Pet Insurance

  • Prepaid Legal Insurance

  • Employee Discounts

  • And More!

The Firm fosters an open and inclusive work environment that enables us to provide clients with the innovative thinking of teams rich in talent, experience and creativity. We regularly host programs intended to increase cultural competencies and address key topics related to community, opportunity and inclusion. Learn more about our Global Inclusion initiatives here: Global Inclusion

Paul Hastings is an equal opportunity employer. Pursuant to applicable local law, we will consider qualified applicants with criminal histories in a manner consistent with the requirements of the relevant fair chance ordinance.