Alignerr is seeking an Environmental Engineering AI Data Trainer to challenge and refine advanced language models on environmental engineering problems. You’ll design rigorous challenges, author benchmark solutions, and audit AI outputs, all while working independently on a flexible remote schedule.
Ideal candidates hold a Master’s or PhD in environmental engineering or closely related fields and can communicate precise technical concepts in writing. No prior AI experience required.
#J-18808-Ljbffr
Remote Environmental AI Data Trainer - Shape Eco-Models in Cambridge employer: Alignerr
Alignerr offers an exceptional work environment for a Remote Senior Software Engineer, providing the flexibility of fully remote work while engaging in cutting-edge AI technology. With a strong emphasis on collaboration and innovation, employees are encouraged to grow their skills through meaningful projects that shape the future of coding systems. The company fosters a culture of creativity and support, making it an ideal place for those looking to make a significant impact in the tech industry.
