ZipRecruiter

Log In

2

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

Cambridge Computer Services, Inc

HPC/AI Data Center Technician

MA · On-site +1

$60K - $80K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Cambridge HPC/AI Data Center Technician (HPC/AI DCT) is field-based specialist charged with ... remote client locations. * Cable and label all types of network cabling within the datacenter ...

All JobsData Labeler JobsData Labeler Remote JobsData Labeler Remote Jobs in Clinton, MA

Data Labeler Remote information

See Clinton, MA salary details

$16

$42

$62

How much do data labeler remote jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data labeler remote in Clinton, MA is $42.40, according to ZipRecruiter salary data. Most workers in this role earn between $37.16 and $47.93 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 cities near Clinton, MA are hiring for Data Labeler Remote jobs?

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

Data Labeler Remote jobs near you
Infographic showing various Data Labeler Remote job openings in Clinton, MA as of August 2026, with employment types broken down into 41% Full Time, and 59% Part Time. Highlights an 100% Remote job distribution, with an average salary of $88,194 per year, or $42.4 per hour.

HPC/AI Data Center Technician

Cambridge Computer Services, Inc

MA • On-site, Remote

$60K - $80K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

How to Apply
Applicants are required to submit both a resume and a cover letter in PDF format for consideration. Within the cover letter, please provide responses to the following questions:
Question 1: What is the largest racking and cabling project you have been involved in, and what was your specific role in that project?
Question 2: How did you develop your knowledge and skills in this area of technology?
Question 3: What certifications do you hold that you believe make you a strong fit for this role?
Only candidates who provide complete application materials, including responses to the above questions, will be considered.
Job Overview:
  • The Cambridge HPC/AI Data Center Technician (HPC/AI DCT) is field-based specialist charged with building an end to end high performance compute, artificial intelligence, machine learning, & enterprise solutions based on a prescribed plan. By leveraging their holistic view of the datacenter and the products and services needed to exist cohesively, the expertise they provide drives outcomes that exceed client expectations.

Responsibilities and Duties:
  • Determine client needs, recommend the best options to solve challenges and execute multi-vendor hardware & software to both existing and net new clients.
  • Display expertise in storage, networking, data protection, digital archiving, and other infrastructure technologies.
  • Develop, validate and/or verify rack elevations and cable layouts and lengths. Determine physical layout of hardware and cables in accordance with proposed configuration diagrams.
  • Install server, storage, network and related equipment ("rack & stack") onsite in remote client locations.
  • Cable and label all types of network cabling within the datacenter environment.
  • Perform general server and network administration to configure basic OS and ILO access.
  • Scope out and detail professional services deliverables; setting clear client expectations.
  • Document all aspects of installation processes from start to finish.
  • Gain advanced expertise of and certifications from the vendors Cambridge uses in our solution stack.

Qualifications:
  • Candidate must have 3+ years of experience working in a data center environment, 5+ years installing network and server hardware, and 5+ years with structured and datacenter cabling.
  • Display knowledge of Layer2 and 3 network concepts and ability to troubleshoot cable and network problems.
  • Understanding of basic Linux.
  • Be able to lift 50 -70 pounds and un-box /move equipment for several contiguous hours.
  • Demonstrate expert level knowledge of advanced computer hardware, software, and services.
  • Have impeccable communication and presentation skills, an ability to multi-task, and high attention to detail. They must be proactive in approach, effective problem solvers, organized, creative, intellectually curious, and deal with ambiguity.
  • As this is a field-based role, work remotely, independently, and unsupervised. Travel will be required 50% - 75% of the time.
  • Authorization to work in the United States on a full-time basis required & a university undergraduate degree preferred.

About Us
Cambridge Computer is a leader in delivering innovative physical and cloud-based IT infrastructure, data storage, and data security solutions to clients in a wide variety of industries across North America. Our clients include Fortune 100 companies, nonprofits, academic institutions, and some of the hottest high-technology companies in the country. We use creativity, technical expertise, and extensive industry relationships with investors, entrepreneurs, technology visionaries, and manufacturers to identify and incorporate both new and existing paradigms into cohesive IT strategies for our clients. Also, we're a Woman-Owned Small Business, with a close-knit staff of about 70 people that hail from all over the world.
Benefits
We recognize that satisfaction and well-being are integral components for long-term sustainability and business success. As such, available to full-time employees are the following benefits:
  • Competitive salary
  • Multiple health insurance options
  • Medical FSA and Dependent Care FSA
  • Dental insurance
  • Vision insurance
  • 401(k) savings plan with employer matching
  • Employer-sponsored long-term disability
  • Paid holidays and PTO that increases with longevity at the company
  • Discounted health club membership
  • Convenient parking
  • Opportunities for growth!

Estimated Salary Range
$60k - $80k per year
Equal Opportunity Employer
Cambridge Computer provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, military service, or veteran status in accordance with applicable federal, state and local laws.

Apply