About the role#
BrightAI is looking for a Computer Vision Intern to join our team in Palo Alto. This is a paid, full-time, on-site internship. You will work directly with our engineering team to manage data pipelines and model training workflows. This position is for a duration of 6 to 12 months with a rolling start date.
What you'll do#
- Annotate images and video for object detection, segmentation, and classification.
- Refine labeling schemas and class taxonomies when edge cases arise.
- Write Python scripts to convert annotation formats, validate label integrity, and generate dataset statistics.
- Perform quality assurance on labels to identify systematic errors or ambiguous cases.
- Run baseline YOLO training experiments to evaluate dataset quality and find labeling gaps.
- Document conventions and decisions regarding edge cases.
What you'll need#
- Pursuing a degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Mathematics, or a related field.
- Working knowledge of Python and common libraries like NumPy and OpenCV.
- Strong attention to detail and patience for precision work.
- Familiarity with YOLO, PyTorch, segmentation masks, or model-assisted labeling is a plus.
Location & details#
- Location: Palo Alto, California, United States.
- Work Modality: On-site.
- Sponsorship: Not available.
About BrightAI
BrightAI builds software for critical infrastructure. The company uses its Stateful platform to connect sensor data for industries like water, power, and manufacturing. It provides tools for predictive diagnostics, autonomous robotics, and digital twins. Founded in 2019, the firm is based in Palo Alto and employs between 51 and 200 people.
How to get in at BrightAI
Applying early gives you a significant advantage at BrightAI, as recruiters often review candidates before the applicant pool grows too large. Intern Insider sends an instant alert the moment a role matching your target is published, helping you stay ahead of the crowd. You should aim to be among the first to submit your materials. Connecting with the right person often yields better results than submitting to a general queue. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the position or a referral. This approach materially improves your response rates compared to a standard application.
