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Remote Junior Developer Jobs (NOW HIRING)

Junior Developer

Dayton, OH · On-site +1

$65K - $84K/yr

The Junior Developer works within Agile teams, collaborating with development, Cloud Engineering, DevSecOps, and QA resources to support backlog execution and delivery. This role participates in ...

Junior Developer

Phoenix, AZ · Remote

$55K - $65K/yr

Junior Analyst-Developer Role Overview We are hiring a Junior Analyst-Developer to help improve business efficiency through automation and AI-assisted tools. This role combines process analysis with ...

Junior Developer

Northbrook, IL · On-site +1

$68K - $89K/yr

Junior Developer (Onsite) Is this you? * You embrace new and complex challenges within development * You deeply enjoy creating new business applications automations and analytic solutions * You want ...

We are currently expanding our team and are seeking a Junior level Full Stack .NET Web Developer to ... This position may allow for remote work; however, employees must be able and willing to travel and ...

This position is remote. Junior Backup, Restore & Storage Engineer supporting enterprise disaster recovery operations. This role assists with daily backup execution, restoration requests, and ...

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Remote Junior Developer information

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$24K

$89K

$137.5K

How much do remote junior developer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote junior developer in the United States is $88,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Junior Developer, and why are they important?

To thrive as a Remote Junior Developer, you need foundational programming knowledge in languages like JavaScript, Python, or Java, and typically a relevant degree or coding bootcamp certification. Familiarity with version control systems such as Git, basic knowledge of cloud platforms, and experience using collaboration tools like Slack or Jira are commonly required. Strong communication, self-motivation, and time management skills help you excel in a remote team environment. These skills and qualities are crucial for effectively contributing to projects, learning quickly, and maintaining productivity without in-person supervision.

What are some common challenges Remote Junior Developers face when starting their first remote job, and how can they overcome them?

Remote Junior Developers often encounter challenges such as communication barriers, feelings of isolation, and difficulty managing time without in-person supervision. To overcome these, it's important to proactively engage in team meetings, ask questions frequently, and use collaboration tools effectively. Setting a structured daily schedule and seeking mentorship or regular check-ins with a more experienced developer can also provide guidance and support. Building relationships with team members through virtual channels helps foster a sense of belonging and keeps you connected to the team's goals.

What is the difference between Remote Junior Developer vs Remote Software Engineer?

AspectRemote Junior DeveloperRemote Software Engineer
Required CredentialsTypically an associate degree or bootcamp certificationBachelor's degree in CS or related field
Work EnvironmentRemote, often entry-level projectsRemote, more complex projects, possibly team lead roles
Industry UsageCommon in startups and small companiesWidespread across tech firms and large organizations
Search & Comparison IntentOften compared for entry-level roles and career growthCompared for advanced responsibilities and salary expectations

The main difference between a Remote Junior Developer and a Remote Software Engineer lies in experience, responsibilities, and qualifications. Junior Developers are typically entry-level, focusing on basic coding tasks, while Software Engineers handle more complex projects and have more experience. Both roles are remote-friendly and common in tech industries, but Software Engineers usually require a higher level of education and experience.

What are Remote Junior Developers?

Remote Junior Developers are entry-level software developers who work from remote locations instead of a traditional office setting. They assist in designing, coding, testing, and maintaining software applications under the guidance of more experienced developers. This role often involves collaborating with team members through online tools and requires good communication and time management skills. Remote Junior Developers typically have foundational programming knowledge and are eager to learn and grow in their careers.
More about Remote Junior Developer jobs
What cities are hiring for Remote Junior Developer jobs? Cities with the most Remote Junior Developer job openings:
What are the most commonly searched types of Remote Developer jobs? The most popular types of Remote Developer jobs are:
What states have the most Remote Junior Developer jobs? States with the most job openings for Remote Junior Developer jobs include:
Infographic showing various Remote Junior Developer job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 93% Full Time, 2% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $88,976 per year, or $42.8 per hour.

Junior AI Engineer - Computer Vision

InnovationTeam

Remote

Full-time

Medical, Vision

Posted 11 days ago


Job description

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 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.