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Intern Data Annotation Tech Jobs in Boston, MA (NOW HIRING)

FieldAI

Senior Data Operations Engineer

Boston, MA

$110K - $140K/yr

Write and maintain SOPs and other supporting documentation for data collection, annotation, and lab operations. * Own first-level QC and escalation for intern/contractor output; flag protocol or ...

FieldAI

Senior Data Operations Engineer

Boston, MA · On-site

$110K - $140K/yr

Write and maintain SOPs and other supporting documentation for data collection, annotation, and lab operations. * Own first-level QC and escalation for intern/contractor output; flag protocol or ...

FieldAI

Senior Data Operations Engineer

Boston, MA · On-site

$110K - $140K/yr

Write and maintain SOPs and other supporting documentation for data collection, annotation, and lab operations. * Own first-level QC and escalation for intern/contractor output; flag protocol or ...

Workiva

Spring 2027 Intern - Data Analytics

Brockton, MA · On-site +1

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

Workiva

Spring 2027 Intern - Data Analytics

Lowell, MA · On-site +1

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

Workiva

Spring 2027 Intern - Data Analytics

Lowell, MA · On-site

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

Workiva

Spring 2027 Intern - Data Analytics

Brockton, MA · On-site

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

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All JobsIntern Data Annotation Tech JobsIntern Data Annotation Tech Jobs in Boston, MA

Intern Data Annotation Tech information

What is an intern data annotation tech?

Intern Data Annotation Techs are entry-level professionals, often students or recent graduates, who support machine learning projects by labeling and categorizing data, such as images, text, or audio. Their work is essential for training AI systems, as accurately annotated data helps algorithms learn to make correct predictions. These interns typically use specialized software tools to tag or classify data according to specific guidelines. The role requires attention to detail, consistency, and sometimes basic technical skills, depending on the complexity of the data and tasks. Internships in data annotation can provide valuable exposure to the fields of artificial intelligence and data science.

What are the key skills and qualifications needed to thrive as an intern data annotation tech?

To thrive as an Intern Data Annotation Tech, you need attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or ongoing college coursework. Experience with annotation platforms, spreadsheet tools, and sometimes basic scripting languages is helpful. Strong communication, reliability, and the ability to follow detailed instructions are valuable soft skills in this role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable machine learning models.

What are some common challenges faced by intern data annotation techs, and how can they overcome them?

Intern Data Annotation Techs often encounter challenges such as maintaining consistency in labeling large datasets and understanding nuanced instructions for annotation tasks. To overcome these hurdles, it's important to ask clarifying questions early on, regularly review annotation guidelines, and participate in team discussions about edge cases. Collaboration with more experienced annotators and feedback from supervisors also help in refining skills and ensuring high-quality data preparation. Developing attention to detail and adaptability will contribute to a successful internship experience.

What is the difference between Intern Data Annotation Tech vs Intern Data Labeler?

AspectIntern Data Annotation TechIntern Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or officeData labeling platforms, remote or office
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating data for training AI modelsLabeling data for machine learning algorithms

Both roles involve preparing data for AI systems, with similar skills and work environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes technical annotation tasks, while 'Data Labeler' is a more general term. Both are entry-level positions vital for training AI models in the tech industry.

Can I do data annotation with no experience?

Intern Data Annotation Tech roles often do not require prior experience, as training is typically provided to teach skills like image or text labeling using annotation tools. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation software and understanding data quality standards can improve job performance over time.

Does data annotation tech actually pay?

Data annotation technicians are paid for their work, with wages typically ranging from minimum wage to higher rates depending on experience, complexity of tasks, and the employer. Payment is usually hourly or per task, and some roles may require basic skills in data labeling tools or software. Compensation varies by company and location but generally provides a reliable income for entry-level positions.

Is it hard to get hired for data annotation?

Getting hired as a data annotation intern typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. Many positions are entry-level and may not require extensive experience, making the application process relatively accessible for beginners. However, competition can vary depending on the company and location.

What are popular job titles related to Intern Data Annotation Tech jobs in Boston, MA?

For Intern Data Annotation Tech jobs in Boston, MA, the most frequently searched job titles are:

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

The top searched job categories for Intern Data Annotation Tech jobs in Boston, MA are:

Intern Data Annotation Tech jobs near you
Infographic showing various Intern Data Annotation Tech job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Operations Manager - Data Operations Lead

Zoox

Boston, MA • On-site

$169K - $231K/yr

Full-time

Medical, Life, PTO

Re-posted 22 days ago

Zoox rating

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

212th of 496 rated machine equipment manufacturers

Job description

We are seeking an experienced and highly skilled operations leader to join the Perception Data and Labeling team. The team is responsible for training and evaluation data powering the perception (vision, lidar, and other modalities) ML models at Zoox. The candidate will work alongside ML engineers, product owners, data engineers, and external partners to scope and deliver high-quality training and evaluation data to help the Zoox Perception AI team meet critical deadlines.
In this role, you will:

  • Translate  and coalesce company-wide feature requirements into concrete and comprehensive data deliverables

  • Work collaboratively with AI teams, project management, and data annotation teams to manage the collection and labeling of training and evaluation data powering Zoox’s AI perception stack. 

  • Manage vendor allocation and budgeting in conjunction with the milestone and release timelines at Zoox. 

  • Define and maintain clear tracking of outcomes, risk, and data quality to ensure transparency and accountability.

Qualifications:
  • Experience in Technical Program Management or Operations Strategy: 5+ years of experience managing complex, cross-functional programs within the technology, autonomous driving, or AI/ML sectors.
  • Perception & Sensor Domain Knowledge: Strong understanding of the machine learning development lifecycle (MLDL) and familiarity with autonomous vehicle sensor modalities (LiDAR, Radar, Camera, Thermal) and their respective data annotation requirements.
  • Strategic Capacity Planning: Demonstrated ability to translate high-level product roadmaps and engineering requirements into granular operational execution plans. Experience managing resource allocation and throughput for large-scale workflows.
  • Vendor Ecosystem Understanding: Experience overseeing large-scale vendor operations or managed service providers, specifically regarding quality, latency, and volume targets.
  • Data Literacy: Proficiency with SQL or Python/Pandas to query databases, analyze throughput metrics, and generate reports without needing engineering support.

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

What Zoox employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Zoox logo

About Zoox

Sourced by ZipRecruiter

Zoox is dedicated to creating the world's first fully autonomous vehicle fleet and the necessary ecosystem to make this technology accessible. Positioned at the crossroads of robotics, machine learning, and design, Zoox strives to deliver the future of mobility-as-a-service in urban settings. We seek exceptional individuals who share our enthusiasm and are eager to join a dynamic and results-driven team.

Industry

Manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Foster City, CA, US

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