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From Home Ai Data Labeling Jobs (NOW HIRING)

Pareto AI

AI Engagement Manager

$150K - $180K/yr

... from. We work with leading frontier labs like Anthropic and GDM, and we give skilled people ... Partner with Product, Delivery, and Engineering to design solutions covering data labeling, evals ...

TSMG Holding

AI/ML Data Contributor

Indianapolis, IN · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Responsibilities : • Perform AI/ML ...

TSMG Holding

AI/ML Data Contributor

Wichita, KS · On-site

In this role, you will assist in improving machine learning models through tasks such as data labeling, content evaluation, and user-based testing. Responsibilities : • Perform AI/ML-related tasks ...

Socket.dev

AI Engagement Manager

Palo Alto, CA · On-site

$180 - $230/hr

Partner with Product, Delivery, and Engineering to design solutions for Agentic AI, data labeling, evaluation, RLHF, red-teaming, and emerging workflows * Ensure strong requirements gathering ...

New

Pareto Inc.

AI Engagement Manager

California, MO · On-site

$100 - $130/hr

Partner with Product, Delivery, and Engineering to design solutions for Agentic AI, data labeling, evaluation, RLHF, red‑teaming, and emerging workflows * Ensure strong requirements gathering ...

TSMG

AI/ML Data Contributor

New York, NY

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Chicago, IL · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

New York, NY · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

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From Home Ai Data Labeling information

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

Remote AI Data Labelers often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively without direct supervision, and ensuring consistent data quality across assignments. To address these, it's important to establish a structured daily routine, take regular breaks to avoid fatigue, and use quality guidelines provided by employers. Staying connected with team members through chat platforms can also help clarify doubts quickly and maintain a sense of teamwork, even when working from home.

What is the difference between From Home Ai Data Labeling vs From Home Data Annotation?

AspectFrom Home Ai Data LabelingFrom Home Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI and machine learning companiesAI, machine learning, and data companies
Job FocusLabeling data for AI trainingAnnotating data for AI and ML models

From Home Ai Data Labeling and From Home Data Annotation are similar roles involving remote work and data preparation for AI. Data labeling typically emphasizes categorizing data, while data annotation may include more detailed marking. Both require basic skills and are used in AI industries, but labeling is often more specific to training datasets for machine learning models.

What are the key skills and qualifications needed to thrive as a from home AI data labeling specialist, and why are they important?

To thrive as a From Home AI Data Labeling specialist, you need keen attention to detail, basic computer literacy, and the ability to follow complex instructions, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic knowledge of programming or data handling systems is beneficial. Strong time management, self-motivation, and effective written communication help individuals excel when working independently. These skills ensure the accuracy and consistency of labeled data, which is critical for training reliable AI models.

What is from home AI data labeling?

From home AI data labeling is a remote job where individuals tag, categorize, or annotate data—such as images, text, or audio—to help train artificial intelligence systems. These tasks are essential for improving machine learning algorithms, as accurate labeled data allows AI models to learn and make better predictions. Data labelers can work on a variety of projects, including identifying objects in photos, transcribing audio, or organizing text according to guidelines. Most positions are freelance or contract-based, offering flexible work hours and the ability to work from anywhere with a computer and internet connection.
More about From Home Ai Data Labeling jobs
What cities are hiring for From Home Ai Data Labeling jobs? Cities with the most From Home Ai Data Labeling job openings:
What are the most commonly searched types of Ai Data Labeling jobs? The most popular types of Ai Data Labeling jobs are:
What states have the most From Home Ai Data Labeling jobs? States with the most job openings for From Home Ai Data Labeling jobs include:
What job categories do people searching From Home Ai Data Labeling jobs look for? The top searched job categories for From Home Ai Data Labeling jobs are:
From Home Ai Data Labeling jobs near you
Infographic showing various From Home Ai Data Labeling job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Arabic Data Labeling Analyst(Speech & Voice )

Welocalize

Boston, MA

$26 - $28/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

329th of 485 rated business services

Job description

Overview

Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.

This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.

While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.

We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.

Project Details
  • Job Title: Data Labeling Analyst
  • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $26 - $28/hour

Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.

What You'll Do
  • Execute high-volume data labeling and annotation tasks across speech and voice datasets
  • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
  • Work with audio and language data, including transcription, categorization, and tagging
  • Maintain strong throughput while meeting quality expectations
  • Escalate unclear or ambiguous cases appropriately
  • Adapt to evolving guidelines and workflows as systems and requirements change
  • Support baseline data production needs for AI training pipelines
  • Contribute to team calibrations and quality alignment sessions
What We're Looking For
  • Native-level fluency in Croatian
  • Strong written communication skills and language fundamentals
  • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
  • Ability to follow detailed instructions and apply guidelines consistently
  • High attention to detail and ability to maintain accuracy in repetitive tasks
  • Comfort working in structured, process-driven environments
  • Ability to manage time effectively and maintain steady output
  • Willingness to ask questions and escalate when needed
  • Basic familiarity with AI, speech technology, or language data is a plus
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)

Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location

What Welocalize employees say

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