Find remote AI training and data labeling jobs open to applicants in Brazil.
Create difficult mechanical engineering problems and verified Python solutions to train and evaluate advanced AI models. This part-time contract pays $10 to $45 per hour and requires advanced English and Python.
Posted Dec 12, 2025
Design difficult, realistic data science problems for AI training and evaluation. This part-time contract pays $50 per hour and requires advanced Python, SQL, statistics, machine learning, and technical writing skills.
Posted Dec 3, 2025
Test AI models and agents for security weaknesses, build repeatable red-team tools, and document clear findings. This remote contract pays $40 per hour for fewer than 20 hours per week.
Posted Nov 17, 2025
Segment recycling images in CVAT using polygon outlines and the Segment Anything tool. Start with a small assignment and earn more work by meeting speed and accuracy standards.
Posted Nov 11, 2025
Work remotely as an AI Red Team Engineer testing LLMs, agents, and RAG systems for security weaknesses. This contract role pays $40 per hour and requires C1 English plus hands-on cybersecurity experience.
Posted Oct 6, 2025
Review and improve AI prompts and responses across vehicle dynamics, powertrain, controls, embedded systems, ADAS, and manufacturing. This worldwide contract pays $40 per hour for less than 20 hours per week.
Posted Oct 1, 2025
AI training and data labeling involve human work used to prepare and review examples for artificial-intelligence systems. Depending on the individual role, tasks can include labeling images or video, transcribing or recording audio, writing or rating model responses, evaluating search results, translating text, reviewing code, or applying subject-matter knowledge. For applicants located in Brazil, only the individual posting can confirm whether that opportunity accepts applications from Brazil and explain the work involved.
OpenTrain is the hiring organization for these roles, and candidates apply through OpenTrain. OpenTrain may place or refer successful candidates to the client whose project they will support. Review each individual posting for the details and requirements that apply to that opportunity, including whether applicants located in Brazil are eligible.
