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Remote Entry Level Data Annotation Jobs in Atlanta, GA

YO AI Labs

English Language Expert - Remote

Atlanta, GA · Remote

$30 - $50/hr

Remote Job Overview We are seeking experienced English Language Experts to support a high-impact AI ... Previous experience in AI data training, annotation, editorial QA, localization QA, or professional ...

micro1 AI

AI Trainer - Microbiology Expert

Atlanta, GA · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

YO AI Labs

Korean Language Expert

Atlanta, GA · Remote

$65 - $100/hr

Remote Job Overview We are seeking experienced Korean Language Experts to contribute their ... Collaborate with project participants to improve data collection, evaluation, and annotation ...

TEKsystems

Data Entry Specialist

Atlanta, GA · Remote

$18 - $22/hr

... Entry Level Job Type & Location This is a Contract position based out of Atlanta, GA. Pay and ... remote position. Application Deadline This position is anticipated to close on Sep 11, 2026. About ...

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All JobsData Annotation JobsRemote Entry Level Data Annotation JobsRemote Entry Level Data Annotation Jobs in Atlanta, GA

Remote Entry Level Data Annotation information

See Atlanta, GA salary details

$11

$19

$30

How much do remote entry level data annotation jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for remote entry level data annotation in Atlanta, GA is $19.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $21.06 per hour, depending on experience, location, and employer.

What is a remote entry level data annotation?

A Remote Entry Level Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video from a remote location. These roles are crucial for training machine learning algorithms, as annotated data helps improve the accuracy of artificial intelligence models. Entry-level positions typically require attention to detail and basic computer skills but do not usually require prior experience or specialized knowledge. Working remotely allows you to perform these tasks from home or any location with internet access.

What are the key skills and qualifications needed to thrive as a remote entry level data annotation?

To thrive as a Remote Entry Level Data Annotation specialist, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes basic spreadsheet software is typically required. Effective time management, communication, and the ability to follow precise instructions help candidates excel in this role. These skills ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.

What are some common challenges faced by remote entry level data annotators, and how can they be managed?

Remote entry-level data annotators often encounter challenges related to maintaining focus and productivity while working independently, as well as ensuring consistency and accuracy in their annotations. To manage these challenges, it's helpful to establish a clear daily routine, set up a dedicated workspace, and actively communicate with team leads or supervisors for guidance. Utilizing collaboration tools and regularly reviewing project guidelines can also help maintain annotation quality and keep workflow on track.

What is the difference between Remote Entry Level Data Annotation vs Remote Data Labeling Specialist?

AspectRemote Entry Level Data AnnotationRemote Data Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certifications required
Work EnvironmentRemote, flexible hoursRemote, often part-time or freelance
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech firms
Search IntentEntry-level data annotation jobsData labeling roles for AI projects

Remote Entry Level Data Annotation and Remote Data Labeling Specialist roles are similar in credentials and work environment, both serving AI and machine learning industries. The main difference lies in terminology used by employers and job seekers, with 'Data Labeling Specialist' often emphasizing more specialized tasks. Both roles are suitable for individuals seeking remote, entry-level positions in data preparation for AI applications.

What are popular job titles related to Remote Entry Level Data Annotation jobs in Atlanta, GA?

For Remote Entry Level Data Annotation jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Remote Entry Level Data Annotation jobs in Atlanta, GA look for?

The top searched job categories for Remote Entry Level Data Annotation jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Remote Entry Level Data Annotation jobs?

Cities near Atlanta, GA with the most Remote Entry Level Data Annotation job openings:

Remote Entry Level Data Annotation jobs near you
Infographic showing various Remote Entry Level Data Annotation job openings in Atlanta, GA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $40,484 per year, or $19.5 per hour.

English Language Expert - Remote

Atlanta, GA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$30 - $50/hr

Full-time

Posted 21 days ago

Job description

English Language Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced English Language Experts to support a high-impact AI training and evaluation project. In this hourly remote role, you will review AI-generated English-language responses, create expert-level language content, evaluate reasoning quality, and provide precise, actionable feedback.

You will help improve AI models by assessing responses for accuracy, clarity, linguistic quality, reasoning, and adherence to prompts. The role requires strong language expertise, analytical thinking, attention to detail, and the ability to clearly explain and correct complex language or reasoning issues.

Key Responsibilities

  • Create high-quality prompts and expert responses across diverse topics to support AI model training.

  • Review AI-generated English responses for accuracy, clarity, relevance, and adherence to the given prompt.

  • Evaluate the quality of reasoning and step-by-step solutions.

  • Identify errors in logic, meaning, methodology, grammar, syntax, or conceptual understanding.

  • Fact-check information when necessary and identify unsupported or inaccurate claims.

  • Edit and revise AI-generated responses to demonstrate correct, natural, and effective language.

  • Provide precise, clear, and actionable written feedback explaining errors and recommended improvements.

  • Rate and compare multiple AI responses based on correctness, reasoning quality, fluency, and contextual relevance.

  • Evaluate AI outputs for ambiguity, inconsistencies, meaning drift, and potential biases.

  • Apply relevant style guides and maintain consistency in tone, terminology, punctuation, capitalization, and formatting.

  • Develop AI training content that improves model accuracy, fluency, and contextual understanding.

  • Test AI models across different use cases to identify potential quality and reliability issues.

  • Use AI tools such as ChatGPT, Gemini, Perplexity, and other relevant platforms during content creation and evaluation.

  • Maintain consistent quality and productivity in an hourly, remote contractor environment.

Required Qualifications

  • Bachelor’s degree or higher in Linguistics, English, Translation/Localization, Communications, Journalism, or a related field.

  • Minimum C1 English proficiency, with C2 or native-level command strongly preferred.

  • Strong knowledge of grammar, syntax, semantics, pragmatics, discourse structure, and stylistic editing.

  • Exceptional attention to detail and ability to identify subtle errors, ambiguity, inconsistencies, and meaning drift.

  • Excellent written and verbal communication skills.

  • Ability to clearly explain corrections, reasoning, and language decisions.

  • Strong analytical and critical-thinking skills.

  • Ability to apply style guides and maintain consistency across different content types and registers.

  • Ability to work independently and reliably in a remote environment across time zones.

Preferred Qualifications

  • Professional proficiency in at least one additional language.

  • Previous experience in AI data training, annotation, editorial QA, localization QA, or professional copyediting.

  • Experience evaluating AI-generated content or training data.

  • Strong hands-on experience using ChatGPT, Gemini, Perplexity, or similar AI tools.

  • Experience developing prompts or creating AI training datasets.

  • Familiarity with AI model evaluation, response ranking, or quality assurance.

  • Experience working with multilingual, technical, editorial, or content-focused projects.

Core Skills

  • Expert English – C1/C2

  • Linguistics

  • Grammar & Syntax

  • Semantics & Pragmatics

  • Discourse Analysis

  • Stylistic Editing

  • AI Response Evaluation

  • Prompt Development

  • AI Training Data

  • Reasoning Evaluation

  • Fact-Checking

  • Editorial Quality Assurance

  • Attention to Detail

  • Written Communication

  • Verbal Communication

  • Critical Thinking

  • Multilingual Proficiency