At Toloka Annotators, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence.
Local
São Paulo - SP
Remoto
Responsabilidades
- Carefully review provided data (text, images, or videos).
- Review tasks submitted by the Annotators team and ensure quality assurance/quality control.
- Label or classify content based on project guidelines.
- Identify and flag factually incorrect, sensitive, inappropriate, or unclear material.
Requisitos
- You hold or are currently pursuing a Bachelor's, Master's or PhD Degree in any professional field.
- You have advanced level of English (C1 or higher), both written and spoken.
- Experience in QA, editing, teaching, consulting, or reviewing work in a professional or academic setting.
- Excellent written communication and ability to give clear, structured and constructive feedback.
- Proven experience in annotation or data labeling.
- Attention to details and ability to understand and follow instructions.
- Genuine interest in technology and artificial intelligence.
Diferenciais
- Get paid for your expertise, with rates that can go up to $9/hour depending on your skills, experience, and project needs.
- Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
- Work on advanced AI projects and gain valuable experience that enhances your portfolio.
- Influence how future AI models understand and communicate in your field of expertise.
Faixa salarial
Até $9/hora
Carga horária
Part-time
Tipo de contrato
Freelance
Sobre a empresa
The Toloka QA (Quality Assurance) Annotators connects individuals with Generative AI projects from leading tech innovators.
Our mission is to unlock the full potential of AI by involving real people from around the world in the development process.
Responsabilidades
- You hold or are currently pursuing a Bachelor's, Master's or PhD Degree in any professional field.
- You have advanced level of English (C1 or higher), both written and spoken.
- Experience in QA, editing, teaching, consulting, or reviewing work in a professional or academic setting, including mentoring or training others (e.g., onboarding junior staff, conducting workshops, reviewing peer work).
- Excellent written communication and ability to give clear, structured and constructive feedback.
- Proven experience in annotation or data labeling.
- Attention to details and ability to understand and follow instructions.
- Genuine interest in technology and artificial intelligence.
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