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Data Annotation Services Jobs in Massachusetts (NOW HIRING)

TSMG

Robot Teleoperator (AI & Robotics)

Boston, MA

... service environments. This position is ideal for candidates with strong attention to detail ... Support data annotation and quality validation activities * Maintain accurate operational records ...

Telus Digital

$132K - $215K/yr

Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Enterprise ... annotation, HD mapping, and vendor-agnostic quality control, trusted by leading OEMs, tier-1 ...

TSMG

Robot Teleoperator (AI & Robotics)

Watertown, MA · On-site

... service environments. This position is ideal for candidates with strong attention to detail ... Support data annotation and quality validation activities * Maintain accurate operational records ...

TSMG

Robot Teleoperator (AI & Robotics)

Boston, MA

... service environments. This position is ideal for candidates with strong attention to detail ... Support data annotation and quality validation activities * Maintain accurate operational records ...

Telus Digital

$165K - $225K/yr

... data lifecycle from initial collection and annotation through to validation, fine-tuning, and model evaluation. Our service offerings span the breadth of what modern AI development demands. On the ...

Telus Digital

$165K - $225K/yr

... data lifecycle from initial collection and annotation through to validation, fine-tuning, and model evaluation. Our service offerings span the breadth of what modern AI development demands. On the ...

LILT, Inc

Production Manager, Applied AI

Boston, MA · On-site

$110K - $145K/yr

Experience with data annotation platforms (e.g., Label Studio, SuperAnnotate) and project ... While meeting customer demand for translation services, LILT has prioritized investments in Large ...

LILT

Production Manager, Applied AI

Boston, MA · On-site

$150 - $200/hr

Experience with data annotation platforms (e.g., Label Studio, SuperAnnotate) and project ... While meeting customer demand for translation services, LILT has prioritized investments in Large ...

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Data Annotation Services information

What are data annotation services?

Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.

What are the key skills and qualifications needed to thrive in data annotation services?

To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.

What are some common challenges faced when working in data annotation services, and how can I address them?

In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.

What is the difference between Data Annotation Services vs Data Labeling Specialists?

AspectData Annotation ServicesData Labeling Specialists
CredentialsTypically no formal credentials required; focus on trainingOften have training in specific tools or industry standards
Work EnvironmentCollaborative, often remote or in-office teamsSimilar, working in teams or independently on labeling tasks
Industry UsageUsed by AI/ML companies for training datasetsEmployed in similar settings, focusing on labeling data for AI models
Search & Comparison IntentUnderstanding services offered for data preparationLooking for roles or tasks related to data labeling

Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.

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

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

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

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

What cities in Massachusetts are hiring for Data Annotation Services jobs?

Cities in Massachusetts with the most Data Annotation Services job openings:

Data Annotation Services jobs near you

Japanese Language Expert - Remote

YO AI Labs

Boston, MA • Remote

$65 - $100/hr

Full-time

Posted 14 days ago

Job description

Job Title: Japanese Language Expert

Job Type: Contract
Location: Remote

Job Overview

We are seeking experienced Japanese Language Experts to contribute their linguistic expertise to a project focused on improving next-generation AI systems. In this role, you will work with Japanese and English audio and written content, ensuring accurate transcription, translation, contextual fidelity, and high-quality linguistic output.

No prior AI experience is required—your language expertise, attention to detail, and bilingual proficiency are what matter most.

Key Responsibilities
  • Accurately transcribe audio and written materials between Japanese and English.
  • Review, edit, and proofread transcripts to ensure linguistic accuracy, clarity, and contextual fidelity.
  • Identify and correct grammatical, terminology, and transcription errors.
  • Provide detailed linguistic feedback to improve transcription quality and consistency.
  • Collaborate with remote team members to maintain project quality standards and workflows.
  • Manage multiple transcription and language tasks while meeting project deadlines.
  • Maintain consistent formatting and high-quality deliverables across assignments.
  • Communicate effectively with team members through written and verbal channels.
Required Skills & Qualifications
  • Native or near-native proficiency in Japanese with strong command of English.
  • Demonstrated experience in transcription, translation, localization, or related language services.
  • Excellent written and verbal communication skills in both Japanese and English.
  • Exceptional attention to detail and commitment to transcription accuracy.
  • Ability to work independently while collaborating effectively within a remote team.
  • Proficiency with transcription software, digital tools, and collaboration platforms.
  • Strong organizational, prioritization, and time-management skills.
Preferred Qualifications
  • Prior experience with Japanese-English bilingual transcription projects.
  • Familiarity with technical, business, or industry-specific terminology.
  • Academic or professional background in linguistics, Japanese studies, translation, language studies, or a related field.
  • Experience reviewing or quality-checking language data.
  • Familiarity with AI, language technology, or data annotation projects is a plus.