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Data Annotation Law Jobs (NOW HIRING)

YO IT Consulting

French AI Data Trainer - Remote

... annotation guidelines and edge-case decision frameworks • Ensure consistency in policy ... Law, Policy, Security Studies, or related field • Native or near-native French proficiency ...

YO IT Consulting

French AI Data Trainer - Remote

... annotation guidelines and edge-case decision frameworks • Ensure consistency in policy ... Law, Policy, Security Studies, or related field • Native or near-native French proficiency ...

YO IT Consulting

French AI Data Trainer - Remote

... annotation guidelines and edge-case decision frameworks • Ensure consistency in policy ... Law, Policy, Security Studies, or related field • Native or near-native French proficiency ...

Mercor

Attorney

New York, NY · On-site +1

$55 - $135/hr

Qualifications Must-Have * 3+ years of professional experience practicing law at a law firm, in ... Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener

Mercor

Legal Professional - Fully Remote

New York, NY · Remote

$55 - $135/hr

Qualifications Must-Have * 3+ years of professional experience practicing law at a law firm, in ... Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener

xAI

Legal & Compliance Tutor

Palo Alto, CA · On-site +1

$100/hr

You will collaborate with technical teams to refine annotation tools and curate impactful data ... Criminal Law, Civil Litigation, Torts, International Law, Health Law, Civil Rights Law ...

Weekday AI

General Counsel

$80 - $105/hr

... law, technology, and AI * Experience collaborating with cross-functional teams in fast-paced environments Preferred Qualifications * Prior exposure to AI, legal tech, or data annotation projects

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Data Annotation Law information

What are the key skills and qualifications needed to thrive as a Data Annotation Specialist, and why are they important?

To thrive as a Data Annotation Specialist, you need keen attention to detail, strong analytical skills, and a basic understanding of data labeling protocols, often supported by a high school diploma or relevant training. Familiarity with data annotation tools like Labelbox, Supervisely, or CVAT, as well as knowledge of data privacy regulations, is typically required. Excellent communication, time management, and consistency are vital soft skills for collaborating with teams and maintaining annotation quality. These skills ensure accurate, reliable data labeling, which is critical for developing effective machine learning models.

What are some common challenges faced by professionals working in data annotation for the legal industry, and how can they be addressed?

Professionals in data annotation law often encounter challenges such as interpreting complex legal language, ensuring consistency and accuracy in labeling, and maintaining confidentiality with sensitive information. Collaboration with legal experts and ongoing training in legal terminology are essential to address these issues. Additionally, many organizations implement rigorous quality assurance processes and utilize annotation guidelines to help annotators navigate ambiguous cases and improve overall data quality.

What is Data Annotation Law?

Data Annotation Law refers to the legal frameworks and regulations that govern the process of labeling, tagging, or categorizing data for use in machine learning and artificial intelligence applications. These laws address issues such as data privacy, intellectual property, consent, and the ethical use of annotated data. Data Annotation Law ensures that organizations handle data responsibly and comply with national and international standards when using human annotators or automated systems. It is crucial for companies to understand these legal requirements to avoid potential legal liabilities and protect the rights of data subjects.

What is the difference between Data Annotation Law vs Data Labeler?

AspectData Annotation LawData Labeler
CredentialsLegal knowledge, compliance certificationsBasic training, attention to detail
Work EnvironmentLegal offices, compliance departmentsData annotation platforms, remote or office settings
Industry UsageLegal, AI compliance, data privacyAI training, machine learning datasets
Search & ComparisonLegal roles, compliance in data annotationData labeling, data annotation jobs

Data Annotation Law involves legal expertise ensuring data annotation processes comply with laws and regulations, often requiring legal certifications. Data Labelers focus on annotating data for AI models, typically with basic training. While both roles work within data annotation, Data Annotation Law emphasizes legal compliance, whereas Data Labelers concentrate on data preparation for machine learning.

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Infographic showing various Data Annotation Law job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Annotation Specialist - South Bay, CA (On Site)

Welo Global

Menlo Park, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago

Job description

OVERVIEW
Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance.
Project Details
Job Title: Data Analyst
Location: Bay Area, CA (Onsite)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time).
This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions.
Key Responsibilities
  • Test new AI products and provide actionable feedback to improve functionality and user experience.
  • Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines.
  • Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
  • Analyze data for consistency, relevancy, and alignment with project goals.
  • Perform quality control to identify and report anomalies, error patterns, and discrepancies.
  • Use basic data analysis methods to extract insights and support continuous improvement.
  • Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.

Preferred Qualifications
  • University degree in linguistics, translation, or a related field.
  • 3-5 years of professional linguistics experience.
  • Strong analytical skills with the ability to detect patterns and anomalies.
  • Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
  • Adaptability to evolving priorities and project requirements.

Benefits
  • Paid Sick Time & Paid Holiday (combined): 15 days
  • Paid Holidays: Memorial Day and Labor Day
  • Medical Insurance (subject to eligibility requirements)
  • Dental Insurance
  • Vision Insurance
  • Health Savings Account (HSA)
  • Voluntary Life Insurance
  • Accident, Critical Illness, and Hospital Indemnity Insurance
  • Telemedicine Benefit
  • 401(k) Retirement Plan
  • Employee Assistance Program

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

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