Jobs at Careerflow.ai

Remote annotator reviews Japanese text and images, draws bounding boxes, answers structured questions, and writes short summaries per guidelines to train AI systems. On-the-job training provided; assessment required.

Design and execute cloud data migration workflows across AWS/GCP/Azure, build and maintain ETL/ELT pipelines, integrate and evaluate LLM/generative AI components, perform system testing and validation, ensure data integrity and performance, document findings, and collaborate with cross-functional teams.

Independently extract data from CSV and PDF sources, transform and map into strict JSON schemas, build material- and supplier-level records, and validate every record with zero data loss. Use AI tools to assist but manually verify all outputs and follow SOPs and QA checklists.

Create, validate, and document step-by-step Computer-Use Agent (CUA) trajectories for technical developer workflows. Break down natural language instructions into reproducible actions, execute and test workflows in Linux using Python/Bash, interact with APIs and browser automation, and collaborate to improve annotation quality and guidelines.

Annotate and label data to train and improve LLM-based AI models using RAG and other AI tools. Ensure data quality and consistency, collaborate with AI engineers, and stay current with AI tools. Work remotely as a contractor for a minimum of 20 hours/week.