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Remote Ai Graduate Jobs (NOW HIRING)

RAND Corporation

AI Security Resident

Boston, MA · On-site +1

  • Medical

  • Life

  • PTO

Graduate of the Computer Network Operations Development Program (CNODP), Remote Interactive ... Experience working on AI research, ML model training, or model deployment * Experience with ...

New

RAND Corporation

AI Security Resident

Washington, DC · On-site +1

  • Medical

  • Life

  • PTO

Graduate of the Computer Network Operations Development Program (CNODP), Remote Interactive ... Experience working on AI research, ML model training, or model deployment * Experience with ...

New

RAND Corporation

AI Security Resident

Pittsburgh, PA · On-site +1

  • Medical

  • Life

  • PTO

Graduate of the Computer Network Operations Development Program (CNODP), Remote Interactive ... Experience working on AI research, ML model training, or model deployment * Experience with ...

New

RAND Corporation

AI Security Resident

Santa Monica, CA · On-site +1

  • Medical

  • Life

  • PTO

Graduate of the Computer Network Operations Development Program (CNODP), Remote Interactive ... Experience working on AI research, ML model training, or model deployment * Experience with ...

New

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How much do remote ai graduate jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote ai graduate in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a Remote AI Graduate?

A Remote AI Graduate is someone who has recently completed a degree or certification in artificial intelligence and works in an entry-level AI role from a remote location. These professionals typically assist with machine learning projects, data analysis, or AI research while collaborating with teams online. Working remotely allows them to contribute to AI projects for companies or research institutions without being physically present at an office. This role is ideal for recent graduates looking to gain experience in the field of artificial intelligence while enjoying workplace flexibility.

What are the key skills and qualifications needed to thrive as a Remote AI Graduate?

To thrive as a Remote AI Graduate, you need a solid understanding of machine learning concepts, programming proficiency (typically in Python), and a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, version control systems (e.g., Git), and cloud platforms is often expected. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and continuous learning. These skills ensure you can contribute effectively to AI projects, adapt to evolving technologies, and work productively in a distributed team environment.

What are some typical challenges faced by Remote AI Graduates when starting their first role, and how can they overcome them?

Remote AI Graduates often encounter challenges such as adapting to asynchronous communication, staying self-motivated without in-person supervision, and bridging the gap between academic knowledge and real-world applications. To overcome these, it's helpful to establish a structured daily routine, actively participate in team meetings and discussions, and seek feedback from mentors or peers. Leveraging collaboration tools and proactively asking questions can also help you integrate smoothly into remote teams and accelerate your professional growth.
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Remote Ai Graduate jobs near you
Infographic showing various Remote Ai Graduate job openings in the United States as of August 2026, with employment types broken down into 3% Internship, 66% Full Time, 21% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Astrophysics Researcher - Fully Remote | Upto $100/hr

Mercor

San Francisco, CA • Remote

$100/hr

Full-time

Posted yesterday

New

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Astrophysics & Cosmology Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI systems using real scientific software.
  • Develop problems requiring strategic planning and multi-step workflows for AI to uncover hidden data.
  • Refine problems through iterative testing against state-of-the-art AI models.
  • Utilize astropy and related tools for cosmological calculations and data analysis.
  • Work independently to enhance problem designs based on feedback.
  • Collaborate asynchronously with teams to ensure problem difficulty is optimal.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with scientific software libraries through research publications or professional work.
  • Strong Python skills for writing problem setups and solution validators.
  • Comfortable in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.