Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

Language Data Annotator (US)

Rws
CompanyRws
CategoryData & Analytics
LocationDallas
RemoteRemote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted20 May 2026
Last verified30 Jul 2026
SourceEmployer career page (lever)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
We are looking for Language Data Annotators to support the improvement of AI-generated content in English.   Job Type: Freelance Location: Texas, work from home Work Schedule: Part-time - 10+ hours per week. Flexible - work when available Start Date: Immediately Duration: TBC Rate: 15 USD/hour   Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models?   What You’ll Do The role involves performing diverse data-related tasks, including: Identify and label languages and dialects from model-generated responses. Review outputs from two different AI models and determine which model correctly identified the proposed language. Compare model responses and select the appropriate evaluation outcome from predefined options Ensure annotations are accurate, consistent, and aligned with project guidelines. Support quality improvement efforts by providing reliable language identification evaluations.   What we’re looking for: English Proficiency: Fluent or advanced proficiency in English (levels B2–C2) AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling.   What We Offer Flexible schedule Opportunity to earn extra income Timely payments The job is ideal for students, part-timers, or stay-at-home parents
HOUSE ADYou found the opening. Now track it.Tracker, radar and AI drafts in one place.erioun.com →