About the role

Aplyr's Quick Take

This is an internship focused on data labeling and annotation for computer vision projects. You'll be working on tasks like annotating images and videos, refining labeling schemas, and running experiments to evaluate dataset quality. It's a hands-on role that supports the development of machine learning models.

Good fit

Ideal for students pursuing degrees in computer science, electrical engineering, or AI/ML with some experience in Python and computer vision libraries. Attention to detail and a methodical approach to work will help you thrive here.

Worth noting

The internship offers direct mentorship from experienced engineers and the chance to build a concrete portfolio, which could be a strong advantage for future job applications in ML/CV. The role may involve repetitive tasks, which could be a downside for some.

Computer Vision Engineer — Data Labeling & Annotation

Type: Temporary

Duration: 6 months - 12 months

What You'll Gain

Exposure to the full CV pipeline, from raw data to deployed model
Mentorship from CV engineers working on production systems
Hands-on experience with YOLO, PyTorch, and modern annotation workflows
Concrete portfolio work — datasets, scripts, and model contributions — that translates directly to future ML/CV roles

What You'll Do

Annotate images and video for object detection (bounding boxes), segmentation (polygons/masks), and classification
Help refine labeling schemas and class taxonomies as edge cases come up
Write Python scripts to convert between annotation formats, validate label integrity, and generate dataset statistics
QA labels and surface systematic errors or ambiguous cases
Run baseline YOLO training experiments to evaluate dataset quality and identify labeling gaps
Document conventions and edge-case decisions

Required

Recent graduate with a degree in CS, EE, AI/ML, or related field
Working knowledge of Python and common CV libraries (NumPy, OpenCV)
Attention to detail and patience for precision work

Nice to Have

Hands-on experience with YOLO
Familiarity with PyTorch, segmentation masks, or model-assisted labeling workflows

Skills & Tags

python go ai data product

Aplyr's read

BrightAI Corporation is a tech innovator in AI solutions, attracting engineers and managers keen on advancing operational efficiency across industries.
Synthesized from recent postings & public sources

What's promising

•BrightAI offers cutting-edge AI solutions that improve decision-making processes.
•The company is actively hiring for senior technical roles, indicating growth and innovation.
•BrightAI focuses on diverse industries, providing varied opportunities for career specialization.

What to watch

•Limited public information about BrightAI's financial stability and long-term viability.
•Potentially high-pressure environment due to rapid technological advancements and competition.
•The niche focus on AI may limit broader career opportunities within the company.

Why BrightAI Corporation

•BrightAI's emphasis on enhancing operational efficiency sets it apart in the AI sector.
•The company hires for specialized roles like time-series signal processing and LLM, RAG.
•BrightAI's cross-industry approach offers diverse application of AI technologies.

Aplyr’s read is generated by AI from public sources. Was it useful?

About BrightAI Corporation

BrightAI Corporation

brightai.com

View company

Bright AI is a technology company specializing in artificial intelligence solutions for various industries, focusing on enhancing operational efficiency and decision-making processes.