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Remote Data Annotation Analyst Jobs in Massachusetts

Massgeneralbrigham

Research Data Analyst

Belmont, MA · On-site +1

$41K - $60K/yr

Job Summary Summary The Research Data Analyst will work under the direction of the Principal ... Additional Job Details (if applicable) Remote Type Hybrid Work Location 115 Mill Street Scheduled ...

Resource Innovations

Energy Engineer

Needham, MA · On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Mass General Brigham

Trauma data Analyst

Salem, MA · On-site +1

$17.71 - $25.28/hr

No Licenses and Credentials Experience related experience 2-3 years in Trauma Analyst Data required ... Hearing Constantly (67-100%) Remote Type Remote Work Location 3 Dove Ave Scheduled Weekly Hours 36 ...

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Remote Data Annotation Analyst information

What is a remote data annotation analyst?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

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

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.

How does a remote data annotation analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

What are the most commonly searched types of Data Annotation Analyst jobs in Massachusetts?

The most popular types of Data Annotation Analyst jobs in Massachusetts are:

What are popular job titles related to Remote Data Annotation Analyst jobs in Massachusetts?

For Remote Data Annotation Analyst jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Data Annotation Analyst jobs in Massachusetts look for?

The top searched job categories for Remote Data Annotation Analyst jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Data Annotation Analyst jobs?

Cities in Massachusetts with the most Remote Data Annotation Analyst job openings:

Remote Data Annotation Analyst jobs near you

Research Data Analyst

Massgeneralbrigham

Belmont, MA • On-site, Remote

$41K - $60K/yr

Full-time

Posted 6 days ago

Key responsibilities

  • Perform statistical analyses of genomic and molecular data, including polygenic risk score (PRS) analyses and association testing.

  • Integrate genetic, transcriptomic, methylomic, clinical, and EHR phenotype data to investigate relationships between molecular variation and clinical outcomes.

  • Organize, curate, and analyze clinical and EHR-derived phenotype data, including data collection, harmonization, quality control, and phenotype definition.

Mass General Brigham rating

8.0

Company rating: 8.0 out of 10

Based on 348 frontline employees who took The Breakroom Quiz

90th of 898 rated healthcare providers

Job description

Site: The McLean Hospital Corporation


Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.


Job Summary

Summary
The Research Data Analyst will work under the direction of the Principal Investigator to support collaborative research integrating genomic and multi-omic data with clinical and electronic health record (EHR) data. The analyst will contribute to projects investigating the genetic, epigenetic, and downstream molecular basis of psychiatric and related complex traits.
Does this position require Patient Care?
No
Essential Functions
-Perform statistical analyses of genomic and molecular data, including polygenic risk score (PRS) analyses and association testing.
-Integrate genetic, transcriptomic, methylomic, clinical, and EHR phenotype data to investigate relationships between molecular variation and clinical outcomes.
-Analyze high-dimensional transcriptomic and DNA methylation datasets.
-Train genetically regulated gene expression (GReX) models and conduct transcriptome-wide association studies (TWAS).
-Perform differential expression and association analyses using statistical frameworks such as limma and related R/Bioconductor tools.
-Organize, curate, and analyze clinical and EHR-derived phenotype data, including data collection, harmonization, quality control, and phenotype definition.
-Develop and maintain reproducible analysis pipelines in R and/or Python.
-Conduct data quality control, visualization, statistical modeling, and interpretation of results.
-Organize, document, and maintain research datasets and analysis outputs to facilitate reproducibility and collaboration.
-Work closely with investigators on study design, analysis, interpretation, and preparation of results for presentations and manuscripts.


Qualifications

Education
Bachelor's or Master's degree in bioinformatics, biostatistics, computational biology, data science, statistics, genetics/genomics, or a related quantitative field required.
Can this role accept experience in lieu of a degree?
Yes

Experience
Experience attained through education or 0-1 year of relevant research or data-analysis experience required. Academic research, internships, or coursework involving statistical analysis or biomedical data may satisfy this requirement.


Knowledge, Skills and Abilities

  • Proficiency in R and statistical data analysis; experience with Python is desirable.
  • Experience working with large, complex, or high-dimensional biomedical datasets.
  • Familiarity with genomic, transcriptomic, DNA methylation, or other molecular data.
  • Familiarity with PRS, GWAS, TWAS/GReX, limma, or related genomic analysis methods is desirable.
  • Familiarity with clinical or EHR data, including phenotype curation and harmonization, is desirable.
  • Understanding of statistical modeling, data visualization, and data quality-control methods.
  • Strong organizational skills and the ability to maintain well-documented and reproducible analyses.
  • Ability to work collaboratively with investigators, scientists, clinicians, and interdisciplinary research teams.
  • Ability to identify analytical or data-related roadblocks and seek appropriate guidance.
  • Strong computer skills and careful attention to data accuracy and organization.


Additional Job Details (if applicable)


Remote Type

Hybrid


Work Location

115 Mill Street


Scheduled Weekly Hours

40


Employee Type

Regular


Work Shift

Day (United States of America)


Pay Range

$41,932.80 - $60,340.80/Annual


Grade

5


At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.


EEO Statement:

1600 The McLean Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.


Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

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