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English Language Annotation Jobs (NOW HIRING)

Volga Partners

Spanish Language Data Evaluator

$15 - $18/hr

Candidate must have full fluency in both English and Spanish language. * Full Time Remote position ... Must have a personal laptop or computer Responsibilities Data Evaluation & Annotation: Label and ...

RWS TrainAI

Language Data Annotator (US)

Dallas, TX · On-site +1

English Proficiency: Fluent or advanced proficiency in English (levels B2-C2) * AI & Data ... annotation and labeling. What We Offer * Flexible schedule * Opportunity to earn extra income

RWS TrainAI

Language Data Annotator (US)

Dallas, TX · On-site +1

English Proficiency: Fluent or advanced proficiency in English (levels B2-C2) * AI & Data ... annotation and labeling. What We Offer * Flexible schedule * Opportunity to earn extra income

Volga Partners

Portuguese Language Data Evaluator

$15/hr

Candidate must have full fluency in both English and Portuguese language. * Full Time Remote ... Must have a personal laptop or computer Responsibilities Data Evaluation & Annotation: Label and ...

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How much do english language annotation jobs pay per year?

As of May 30, 2026, the average yearly pay for english language annotation in the United States is $44,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,500.00 and $50,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an English Language Annotator, and why are they important?

To thrive as an English Language Annotator, you need excellent command of English grammar, syntax, and semantics, often supported by a degree in linguistics, English, or a related field. Familiarity with annotation tools, content management systems, and sometimes programming languages like Python is typically required. Attention to detail, analytical thinking, and strong communication skills help annotators interpret language nuances and collaborate effectively. These abilities ensure high-quality, consistent data labeling that is crucial for training accurate language models and AI systems.

What are some common challenges faced by English Language Annotation specialists, and how can they be addressed?

English Language Annotation specialists often encounter challenges such as ambiguity in text, maintaining consistency across large datasets, and interpreting nuanced language elements like sarcasm or idioms. To address these, clear annotation guidelines, regular team discussions, and ongoing training are essential. Collaboration with linguists, project managers, and quality assurance teams also helps ensure accuracy and resolve uncertainties that arise during annotation tasks.

What is English language annotation?

English language annotation is the process of labeling or tagging text data in English to provide additional information or context. This can include identifying parts of speech, named entities, sentiment, or other linguistic features. Annotators often work on datasets used to train and evaluate natural language processing (NLP) models. The role requires strong English language skills and attention to detail, as accurate annotation is crucial for developing effective AI and machine learning applications.
Infographic showing various English Language Annotation job openings in the United States as of May 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution, with an average salary of $44,079 per year, or $21.2 per hour.
Generative AI Data Analyst - USA (Remote)

Generative AI Data Analyst - USA (Remote)

Welo Data

Charleston, WV • Remote

$27.38/hr

Full-time

Posted 23 days ago

Job description

OVERVIEW

We are seeking a Generative AI Analyst to support a high-impact machine learning project. This role focuses on creating high-quality prompts and responses across diverse topics and leading labeling initiatives with internal and external partners. The ideal candidate is a strong communicator with native-level U.S. English, experienced in working with data and comfortable training teams on best practices for LLM development. This position is fully remote and suited for someone motivated to work with cutting-edge AI technologies.

Project Details

Job Title: Generative AI Analyst
Location: Remote
Hours: 40 hours weekly
Language: English (US)
Start date: April 2026
Employment Type: Full-time W-2 employee with benefits – 5 days a week
Pay rate: $27.38/hour
If you reside in California, please apply to the California-specific posting for the applicable rate

Must have valid work authorization in the US (Welo Data does not sponsor VISAs at this time).

Key Responsibilities
  • Creatively writing prompts and responses to a variety of diverse topics
  • Perform LLM annotation and evaluation tasks (ranking, scoring, labeling, tagging)
  • Evaluate model outputs for accuracy, relevance, and instruction-following
  • Identify and document issues such as hallucinations and inconsistencies
  • Participating in and/or supporting labeling workflows, including hands-on annotation and collaboration with internal or external teams
  • Training teams on best practices for creating Large Language Models/Data sets
Requirements
  • Hands-on experience performing data annotation or evaluation tasks (e.g., labeling, ranking, scoring, or tagging LLM outputs)
  • Native or near-native English with excellent writing skills
  • Strong attention to detail and ability to follow guidelines consistently
  • Self-driven, motivated and enthusiastic to work on state-of-art machine learning tools
  • 4 year Accredited College degree or equivalent experience

Ways to stand out from the crowd:

  • College Degree or experience in Linguistics, English Literature, Creative Writing, Journalism, and domain knowledge (Law/Medical/Math/Coding/etc.)
  • Experience working in annotation platforms or structured labeling environments is a plus
  • Deep understanding of Large Language Models/RLHF
  • Experience in labeling/tagging of frames/tasks/prompts to prepare for DNN
  • QA/testing experience

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.