Remote Junior AI Engineer - Computer Vision Location : Remote Employment Type : Full-time (8 hours) Remotely Experience Level : Junior (5+ years) InnovationTeam is a forward-thinking technology ...
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Remote Junior Computer Engineer information
See salary details
$33.5K - $40.4K
3% of jobs
$40.4K - $47.3K
20% of jobs
$48.8K is the 25th percentile. Wages below this are outliers.
$47.3K - $54.2K
7% of jobs
$54.2K - $61.1K
6% of jobs
$61.1K - $68K
12% of jobs
The median wage is $68.5K / yr.
$68K - $75K
17% of jobs
$78.6K is the 75th percentile. Wages above this are outliers.
$75K - $81.9K
17% of jobs
$81.9K - $88.8K
7% of jobs
$88.8K - $95.7K
4% of jobs
$95.7K - $102.6K
3% of jobs
$102.6K - $109.5K
2% of jobs
$33.5K
$71.8K
$109.5K
How much do remote junior computer engineer jobs pay per year?
What is the difference between Remote Junior Computer Engineer vs Remote Software Developer?
| Aspect | Remote Junior Computer Engineer | Remote Software Developer |
|---|---|---|
| Required Credentials | Associate's or Bachelor's in Computer Engineering or related field | Bachelor's in Computer Science or Software Engineering |
| Work Environment | Hardware and software troubleshooting, system setup, network support | Application development, coding, software testing |
| Industry Usage | IT services, hardware companies, tech support | Tech companies, startups, software firms |
| Common Search Intent | Entry-level hardware/software support roles | Entry-level coding and application development roles |
Remote Junior Computer Engineers typically focus on hardware, system setup, and troubleshooting, while Remote Software Developers concentrate on coding and software creation. Both roles are entry-level, often requiring related degrees, but they serve different technical needs within the tech industry.
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Full-time
Medical, Vision
Posted 9 days ago
Job description
Location: Remote
Employment Type: Full-time (8 hours) Remotely
Experience Level: Junior (5+ years)
InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a Junior AI Engineer - Computer Vision to join our AI engineering team.
As a Junior Computer Vision Engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.
This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.
At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where Junior engineers can make a meaningful impact.
Role Overview
We are seeking a skilled AI Engineer with a strong focus on Computer Vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.
Requirements
• Develop and train Computer Vision models for image and video analysis.
• Implement solutions for object detection, image classification, segmentation, and tracking.
• Prepare and manage datasets, including data cleaning, labelling, and augmentation.
• Optimize models for GPU performance, inference speed, and scalability.
• Deploy AI models into production using APIs and containerized services.
• Integrate Computer Vision models with broader AI and analytics platforms.
• Collaborate with software engineers, data scientists, and product teams.
• Maintain documentation and ensure code quality and reproducibility.
Required Skills & Qualifications
• Minimum 5 years of hands-on experience in AI / Machine Learning/Deep learning with a focus on Computer Vision.
• Master's degree in computer science, software Engineering, Artificial Intelligence, Engineering, or a related field.
• Strong knowledge of Computer Vision concepts and algorithms.
• Practical experience with CNN-based models and modern CV architectures.
• Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).
• Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).
• Understanding of model evaluation, metrics, and performance optimization.
• Experience deploying models in cloud or on-prem environments.
• Familiarity with Docker and basic MLOps practices.
• Excellent English communication skills (written and spoken).
Nice to Have
• Experience with video analytics or real-time inference.
• Exposure to Vision Transformers or multimodal AI.
• Experience with GPU-based training and inference.
• Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).
• Background in domains such as healthcare, smart cities, or industrial AI.
Benefits
• Work on practical, production-grade Computer Vision solutions.
• Access to GPU infrastructure and modern AI tooling.
• Collaborative, engineering-focused work environment.
• Opportunities for growth and advanced AI exposure.
• Competitive compensation package.