LLM Evaluator - Portuguese Language (Brazilian dialect)

Chemin; Brasil; Teletrabalho; BRL 80.000 - 120.000; Tempo parcial

Resumo da oferta

A leading AI subsidiary company is looking for LLM Evaluators in Brazil. This remote, task-based role involves sentiment analysis and emotion tagging to enhance AI systems. Ideal candidates should be native Portuguese speakers with good English proficiency. Enjoy flexible work hours with potential for increased earnings based on output. Great opportunity for those interested in technology and finance.

Serviços

Flexible work schedule

No earning cap

Hands-on experience in AI

Qualificações

• Native speaker of Portuguese (Brazilian dialect) at C1 level or higher.
• Professional working proficiency in English (UK/US).
• A laptop or desktop computer with a stable internet connection.

Responsabilidades

• Deliver high-quality annotations with 90% accuracy.
• Tag emotions and sentiments based on guidelines.
• Communicate effectively with Project Managers.

Conhecimentos

Attention to detail

Effective communication

Time management

Adaptability

Formação académica

Academic background in Finance, Accounting, Linguistics, or similar fields

Descrição da oferta de emprego

About Chemin

Chemin, TDCX’s AI-focused subsidiary, is launching a new gigwork opportunity for individuals eager to earn while contributing to cutting-edge AI projects.

We partner with leading global companies to power next-generation AI solutions. For this project, we are teaming up with a leading fintech client, and we’re inviting individuals native of Brazil to join us as Large Language Model (LLM) Evaluators.

This role is fully remote, task-based, and gives you the flexibility to increase your income at your own pace. Your contributions will shape advanced technology for financial solutions.

About the Role

As an LLM Evaluator, you will review conversations and complete two core tasks:

• Sentiment Analysis: Identify and label the sentiment of responses.
• Emotion Taxonomy: Tag relevant emotions present in inputs and outputs.

Your work will directly improve the accuracy of large language models (LLMs), enabling reliable, efficient AI systems. To set you up for success, you will be provided with onboarding and training by our dedicated Project Managers.

If you’re passionate about technology, finance, or linguistics, this is the opportunity for you!

Responsibilities

• Deliver high-quality annotations with 90% accuracy with minimal revisions.
• Tag emotions and sentiments consistently based on provided guidelines.
• Communicate effectively with Project Managers regarding challenges, feedback, or clarifications.
• Maintain efficiency and reliability in a remote work environment.
• Meet key deadlines while maintaining quality and consistency in completed tasks.

• Native speaker of Portuguese (Brazilian dialect) at C1 level or equivalent, or higher.

• Professional working proficiency in English (UK/US).

• A laptop or desktop computer with a stable internet connection.
• Precision, consistency, and attention to detail.
• A growth mindset with the ability to learn quickly and adapt to project requirements.
• Efficient time management to deliver consistent output.

Bonus points if you have:

• Prior experience in data annotation or LLM evaluation projects.
• Academic background in Finance, Accounting, Linguistics, or similar fields.

Working Arrangements

• This is a fully remote, gig-based project with flexibility in when you work.
• To ensure project goals are met, we are looking for individuals who can commit to this project on a daily basis, including weekends where required.
• The more tasks you can complete, the faster you will learn, and the higher your earnings will be. Consistency is key to success!
• There is no cap on earnings, paid on a per-task basis.
• The project timeline is from mid-September 2025 until October 2025

Add a flexible side hustle to your existing commitments

• Earn more on your own schedule with no ceiling on earnings
• Gain hands-on experience in the fast-growing AI industry
• Be part of Chemin, TDCX’s fast-growing AI subsidiary, and work on projects that shape the future