- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 6 days ago
- Work mode
- Work from home
- Education
- Bachelor’s degree or higher
- Eligibility
- Professionals with a strong English-language background who hold a bachelor’s degree or higher in a related field and meet the required English proficiency level. Multilingual candidates and applicants with experience in AI data work, QA, localization, or copyediting are especially well suited.
- Resume
- Required to apply
Job description
Role Overview
This remote contract opportunity is for an English language specialist who will assess AI-produced English responses and, where needed, create expert-level language content. The work centers on checking answer quality, improving reasoning, and producing clear, precise feedback that helps refine model outputs.
You will review responses for factual accuracy, clarity, prompt alignment, and logical soundness. The role also involves identifying mistakes in method, meaning, or conceptual understanding, verifying information when necessary, and writing strong explanations and revised answers that demonstrate the correct approach. In addition, you may compare multiple AI outputs and judge which response is stronger in terms of accuracy and reasoning.
This position supports an AI data services company that supplies training data to major AI organizations and foundation-model teams. Your language expertise will contribute directly to making AI outputs more natural, reliable, and easy to understand.
There is currently no active project tied to this role. If you are a strong match, you may be contacted first when relevant assignments become available, and you may also gain access to future opportunities through the expert network.
Responsibilities
- Review AI-generated English responses and evaluate how well they satisfy the prompt.
- Check answers for accuracy, readability, reasoning quality, and contextual fit.
- Spot logical issues, incorrect assumptions, meaning shifts, and conceptual mistakes.
- Verify facts when required and provide precise, practical feedback.
- Write clear explanations and corrected versions that model the right method.
- Compare multiple AI outputs and rank them by correctness and strength of reasoning.
- Create training prompts and sample responses on a range of topics to support model learning.
- Assess AI output quality to improve fluency, correctness, and relevance.
- Test models for errors or bias and help confirm dependable performance across use cases.
Requirements
- A bachelor’s degree or higher in Linguistics, English, Translation/Localization, Communications, Journalism, or a related discipline.
- Advanced English ability, with native-level or C2 proficiency preferred; at minimum, C1-level English is required.
- Professional fluency in at least one additional language is strongly preferred.
- Deep understanding of grammar, syntax, semantics, pragmatics, discourse flow, and editing across different writing styles.
- Strong attention to detail when identifying ambiguity, meaning drift, inconsistencies, and subtle language errors.
- Ability to explain corrections clearly and professionally in writing.
- Comfort working with style guides and keeping tone, terminology, punctuation, and capitalization consistent.
- Dependable, self-managed, and comfortable delivering high-quality work in a remote contractor setup across time zones.
- Experience in AI data training, annotation, editorial QA, localization QA, or professional copyediting is highly desirable.
- Hands-on familiarity with AI tools such as Perplexity, Gemini, ChatGPT, and similar platforms.
Additional Information
This is an hourly contractor role and is fully remote. The job type is contract. No immediate project is currently assigned, but qualified candidates may be considered first for upcoming work and future expert-network opportunities.
Key Duties
- Draft prompts and content that help train AI systems across different subject areas.
- Evaluate and compare AI answers to improve model accuracy and naturalness.
- Check models for potential bias or incorrect outputs and support reliability testing.