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Data Annotation Tech Remote Jobs in Springfield, MA

Milliman

Strategic Data Partnership Manager

Windsor, CT · Remote

... technology solutions. Position Summary: Healthcare runs on data that nobody has fully figured out ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

The Hartford

Data & AI Delivery Lead

Hartford, CT · On-site +1

$156K - $234K/yr

As a Data & AI Delivery lead you will lead endtoend delivery for highimpact technology initiatives ... Hybrid / Or Remote This role can have a Hybrid or Remote work schedule. Candidates who live near ...

The Hartford

Senior Staff AI Data Engineer

Hartford, CT · On-site +1

$106K - $145K/yr

Shape the future of technology with us! Apply now to be part of our innovative journey and make a ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations ...

Accounting Fly

Remote Tax Manager

Stafford, CT · Remote

$150K - $170K/yr

... than just transactional data entry. * Firm Scaling: Help strengthen and scale our advisory ... Technology stipend, continuing education, and CPA support. * Flexibility: Permanently 100% remote ...

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All JobsData Annotation Tech JobsData Annotation Tech Remote JobsData Annotation Tech Remote Jobs in Springfield, MA

Data Annotation Tech Remote information

See Springfield, MA salary details

$12

$22

$34

How much do data annotation tech remote jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data annotation tech remote in Springfield, MA is $22.76, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $27.07 per hour, depending on experience, location, and employer.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What is a data annotation tech remote?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote data annotation techs, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

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

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.

What job categories do people searching Data Annotation Tech Remote jobs in Springfield, MA look for?

The top searched job categories for Data Annotation Tech Remote jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Data Annotation Tech Remote jobs?

Cities near Springfield, MA with the most Data Annotation Tech Remote job openings:

Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $47,346 per year, or $22.8 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Springfield, MA • Remote

$70 - $90/hr

Part-time

Posted 17 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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