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Data Labeler Remote Jobs in Boston, MA (NOW HIRING)

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Data Labeler Remote information

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$16

$42

$61

How much do data labeler remote jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data labeler remote in Boston, MA is $42.02, according to ZipRecruiter salary data. Most workers in this role earn between $36.83 and $47.55 per hour, depending on experience, location, and employer.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

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

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

What are some common challenges faced by remote data labelers and how can they be managed?

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

How much does a data labeler remote make?

Remote data labelers typically earn between $12 and $20 per hour, depending on experience, complexity of tasks, and the company. Some positions may offer additional incentives or flexible schedules, but wages generally align with entry-level data annotation roles in the industry.

Is data labeling a good career?

Data labeling is a common entry-level role in the AI and machine learning industry, involving annotating data such as images, text, or audio to train algorithms. It often offers flexible remote work options and requires attention to detail but typically has lower barriers to entry and limited career advancement without additional skills or certifications.

What are the most commonly searched types of Data Labeler jobs in Boston, MA?

The most popular types of Data Labeler jobs in Boston, MA are:

What are popular job titles related to Data Labeler Remote jobs in Boston, MA?

For Data Labeler Remote jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Data Labeler Remote jobs in Boston, MA look for?

The top searched job categories for Data Labeler Remote jobs in Boston, MA are:

What cities near Boston, MA are hiring for Data Labeler Remote jobs?

Cities near Boston, MA with the most Data Labeler Remote job openings:

Infographic showing various Data Labeler Remote job openings in Boston, MA as of August 2026, with employment types broken down into 42% Full Time, and 58% Part Time. Highlights an 100% Remote job distribution, with an average salary of $87,412 per year, or $42 per hour.

Building Assessor - Field Inspector - Massachusetts

SB Thomas & Associates

Boston, MA • Remote

$25 - $38/hr

Full-time

Re-posted 7 days ago


Job description

Join the Small Business Award Winner in Pennsylvania for 2025!
 
We are SB Thomas & Associates, a certified small business enterprise providing construction management, government contracting, technical assistance, and grant writing and grant administration services to its clients.
Established in 2009, we have built a company culture that embraces innovation, new ways of doing things, and better ways to service clients. We understand the impact of how small parts of a process affect the bigger picture. We take action. We have passion and purpose for our jobs and our roles in the company.
We seek candidates in Massachusetts to work remotely in a home-based office with regular and frequent travel to customer sites throughout MA. 
This position performs on-site data collection for Facility Condition Assessments (FCA), Property Condition Assessments (PCA/PCNA), and Asset Tagging / Inventory assignments across diverse property types, including Multifamily housing, senior housing, educational (K-12 and higher education), commercial, industrial, municipal, and military / federal facilities.
This position’s primary responsibility is field-based data collection -  capturing photos, quantities, and observable conditions using standardized mobile platforms. Depending on experience, team members may also assist with or prepare written reports and cost data.
Specifically, you will:
  • Conduct on-site facility and building condition assessments for multifamily, senior, educational, commercial, industrial, municipal, and federal/military properties.
  • Collect data on building systems, finishes, and site components using company software (FastField, iAuditor, AkitaBox, or Quire).
  • Perform asset tagging & inventory, labeling MEP equipment with barcodes/QRs and reconciling to client databases.
  • Capture clear, well-labeled digital photographs of systems and deficiencies.
  • Record accurate quantities, serial numbers, dimensions, ages, and condition ratings.
  • Support senior assessors and project managers with RSMeans-based cost estimating and capital-planning data (5-, 10-, and 20-year horizons).
  • Assist with report assembly and technical writing as assigned.
  • Adhere to all site safety requirements and maintain professional communication with property contacts.
We seek candidates with:
  • High school diploma or equivalent, required
  • 2+ years’ experience in building inspection, facility assessment, or related fieldwork.
  • Strong attention to detail and organizational accuracy.
  • General understanding of architectural, structural, mechanical, electrical, plumbing, and site/civil systems.
  • Proficiency with tablets, mobile apps, Microsoft Office, and digital photography.
  • Excellent written / verbal communication and teamwork skills.
  • Valid driver's license is required with no significant MVA points/violations (clean driving record).
  • Must possess company values of Entrepreneurial Spirit, Results, Integrity and Customer Focus

Preferred Qualifications
  • Experience performing FCAs, PCAs, or PCNAs for multifamily, senior, educational, commercial, or government facilities.
  • Familiarity with ASTM E2018, Uniformat II, and HUD CNA e-Tool.
  • Working knowledge of RSMeans or equivalent cost databases.
  • Preferred certifications (not required):
    • ICC Inspector / Plans Examiner (B1, M1, Accessibility)
    • OSHA 10 or 30-Hour Safety
    • CPSI, AHERA Asbestos Inspector, or FAA Part 107 Drone License
  • Experience using Bluebeam, Monday.com, Quire, Akitabox, or similar tools.

Additionally, you will be required to:
  • Stand / walk 6–8 hours per day on large sites.
  • Climb ladders, stairs, access roofs, attics, crawlspaces.
  • Lift / carry tools and equipment up to 30–50 lbs.
  • Work indoors and outdoors in variable weather.
  • Operate tablets and cameras for extended periods.
  • Use required PPE at all times.
  • Remote-based with frequent travel (50–75%).
  • Fieldwork in occupied and unoccupied facilities.
  • Occasional evening or weekend work may be required.
  • Typical travel assignments 3–10 days in duration.

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