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Remote Ai Computer Science Jobs (NOW HIRING)

$40/hr

... to evaluate AI-generated quantitative work. This remote role allows for a flexible schedule ... and scientific reasoning. Join our team to shape the future of AI systems while working from ...

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Remote Ai Computer Science information

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$83.5K

$102.5K

$135.5K

How much do remote ai computer science jobs pay per year?

As of Jun 5, 2026, the average yearly pay for remote ai computer science in the United States is $102,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $115,000.00 per year, depending on experience, location, and employer.

What is a remote AI computer science job?

A remote AI computer science job involves working from a location outside a traditional office—often from home—on tasks related to artificial intelligence and computer science. Professionals in this role typically develop, test, and deploy AI models, analyze large datasets, and write code to solve complex problems. They may collaborate with teams using online tools and are expected to stay updated on the latest AI technologies and programming languages. This job can be found in industries ranging from tech startups to large corporations, and offers flexibility in work schedule and location.

What are the key skills and qualifications needed to thrive as a Remote AI Computer Scientist, and why are they important?

To thrive as a Remote AI Computer Scientist, you need a strong background in computer science, programming (Python, Java, or C++), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are common technical requirements. Excellent problem-solving skills, self-motivation, and effective remote communication are soft skills that set top performers apart. These abilities are critical for developing innovative AI solutions, collaborating with distributed teams, and adapting to rapidly changing technology landscapes.

What are the typical collaboration methods for remote AI Computer Science professionals working on team projects?

Remote AI Computer Science professionals often collaborate using a combination of cloud-based code repositories, video conferencing, and project management tools. Teams typically hold regular virtual stand-ups, code review sessions, and brainstorming meetings to ensure alignment and knowledge sharing. Effective communication and documentation are crucial, as team members may be in different time zones. Additionally, pair programming and collaborative debugging sessions are common practices to maintain code quality and foster team cohesion.
More about Remote Ai Computer Science jobs
What cities are hiring for Remote Ai Computer Science jobs? Cities with the most Remote Ai Computer Science job openings:
What are the most commonly searched types of Ai Computer Science jobs? The most popular types of Ai Computer Science jobs are:
What states have the most Remote Ai Computer Science jobs? States with the most job openings for Remote Ai Computer Science jobs include:
Infographic showing various Remote Ai Computer Science job openings in the United States as of May 2026, with employment types broken down into 69% Full Time, 25% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $102,500 per year, or $49.3 per hour.
Remote AI Trainer & Quantitative Scientist

Remote AI Trainer & Quantitative Scientist

DataAnnotation

Sioux Falls, SD • Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

A forward-thinking AI development company seeks experienced quantitative professionals to evaluate AI-generated work and design quantitative problems. This remote position offers flexibility to work from anywhere while receiving competitive pay starting at $40 per hour. Ideal candidates will have a background in data science, economics, or similar fields, with strong technical and communication skills.

Join us in shaping the future of AI systems and enhancing their capabilities through rigorous data analysis and feedback. #J-18808-Ljbffr