Language Alignment & Resource Partner - Freelance AI Trainer Project
Boost your chances before you apply.
Meridial
US
Summary
The role involves performing linguistic quality assurance, annotating AI data, and validating outputs for grammatical and cultural accuracy. Additionally, the partner will develop educational resources to improve AI alignment with campaign expectations.
Job Description
Project Overview
We are sourcing independent Language Alignment & Resource Partners (LARPs) to provide native-level language vetting and QA for a specialized AI data project. As AI systems strive to reflect real-world usage and deliver human-like communication, their accuracy depends entirely on rigorous linguistic and cultural consultation. The objective of this project is to evaluate, annotate, and validate data to ensure high-quality outputs that are fully natural, polished, and free from bias.
Project Deliverables & Scope
Operate autonomously to provide linguistic QA and develop alignment resources. Expected deliverables include:
- Data Annotation & Review: Reviewing, annotating, and testing AI outputs for grammatical accuracy, naturalness, and strict cultural context.
- Quality Assurance & Vetting: Acting as a primary quality check during production to proactively identify and correct subtle cultural errors or awkward phrasing in the target language.
- Resource Generation: Analyzing task quality trends and autonomously developing educational resources and feedback documentation to increase alignment between AI task outputs and campaign expectations.
- Production & Vetting Support: Providing native-level language vetting during project scaling and offering specialized linguistic consultation throughout the production phase.
Required Expertise
To successfully fulfill the deliverables of this project, Contractors must possess a meticulous eye for language and cultural nuance.
Core skillset includes:
- Demonstrable work or educational experience in linguistics, education, or other fields requiring high attention to linguistic detail.
- Prior, tangible experience working in human data evaluation or annotation.
- Verified English language proficiency of C1 or C2
- The ability to confidently transform raw feedback and quality trends into structured, actionable educational resources.
- A meticulous approach to language, with the sharpness to identify and correct even the most subtle unnatural phrasing in their native tongue.
Service Fees
We offer a pay range of $10-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.
Engagement Type: Freelance / Independent Contractor
Workplace Type: Remote
Invisible Technologies makes AI work.
Our platform cleans, labels, and structures company data so it’s ready for AI. It adapts models to each business and adds human expertise when needed — the same approach used to improve models for over 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.
Our successes span industries — from supply chain automation for Swiss Gear, to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.
Invisible, profitable for over half a decade, reached $134m in revenue and ranked #2 fastest-growing AI company in 2024, and recently raised $100M to advance its platform technology.
Founded
2015
Company size
201-500 employees
Industry
Software Development
Org type
Privately Held
Invisible Technologies makes AI work.
Our platform cleans, labels, and structures company data so it’s ready for AI. It adapts models to each business and adds human expertise when needed — the same approach used to improve models for over 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.
Our successes span industries — from supply chain automation for Swiss Gear, to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.
Invisible, profitable for over half a decade, reached $134m in revenue and ranked #2 fastest-growing AI company in 2024, and recently raised $100M to advance its platform technology.
Founded
2015
Company size
201-500 employees
Industry
Software Development
Org type
Privately Held