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Remote Computer Science Fresh Graduate Jobs in Mountain View, CA

Mercor

AI Research Scientist - PhD

San Francisco, CA · Remote

$55 - $80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with ... Science , AI/ML Research , Computer Science , Game Development , or Mechanical/Aerospace ...

Mercor

ML Research Scientist - PhD

San Francisco, CA · Remote

$60 - $100/hr

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least ...

Posted today

Pinterest

Data Scientist

San Francisco, CA · On-site +1

Bachelor's degree in Computer Science, a related field or equivalent experience This position is not eligible for relocation assistance. #LI-REMOTE #LI-NM4

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Remote Computer Science Fresh Graduate information

What is a remote computer science fresh graduate?

Remote computer science fresh graduates are individuals who have recently completed a degree in computer science and are seeking or starting entry-level positions that allow them to work from home or any location outside a traditional office. These roles typically involve tasks such as software development, web development, or IT support, and require strong technical skills gained through academic coursework or internships. Remote positions offer flexibility and the opportunity to work for companies worldwide, but may also require strong self-motivation and communication skills to collaborate effectively with distributed teams.

What are the key skills and qualifications needed to thrive as a remote computer science fresh graduate?

To thrive as a Remote Computer Science Fresh Graduate, you need a solid foundation in programming languages, algorithms, and software development principles, typically supported by a relevant degree. Familiarity with version control systems like Git, collaboration tools such as Slack or Jira, and cloud platforms is highly valued. Strong problem-solving abilities, self-motivation, and effective written communication are crucial soft skills for remote work success. These skills and qualities are essential to deliver high-quality work independently, collaborate efficiently with distributed teams, and adapt quickly to new challenges in a remote environment.

What are some common challenges remote computer science fresh graduates face during their first year, and how can they overcome them?

Remote Computer Science Fresh Graduates often encounter challenges like adapting to distributed team communication, managing time effectively without in-person supervision, and bridging the gap between academic knowledge and practical coding tasks. To overcome these, it's helpful to proactively seek feedback, participate in virtual team meetings, and utilize collaboration tools like Slack or GitHub. Building a strong routine, asking questions early, and leveraging mentorship opportunities can also make the transition smoother and support your long-term growth.

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What cities near Mountain View, CA are hiring for Remote Computer Science Fresh Graduate jobs?

Cities near Mountain View, CA with the most Remote Computer Science Fresh Graduate job openings:

Remote Computer Science Fresh Graduate jobs near you
Infographic showing various Remote Computer Science Fresh Graduate job openings in Mountain View, CA as of June 2026, with employment types broken down into 1% As Needed, 67% Full Time, 30% Part Time, and 2% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.

AI Research Expert - Fully Remote | Upto $145/hr

Mercor

San Francisco, CA • Remote

$145/hr

Full-time

Posted 8 days ago

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: ML Research PhD Experts (ICML / NeurIPS / ICLR Publications)
Type: Contract
Compensation: $110–$145/hour
Location: Remote

Role Responsibilities

  • Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs.
  • Review complex machine learning research for alignment with domain principles and methodologies.
  • Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
  • Develop evaluation rubrics and benchmarks for assessing AI-generated tasks and solutions.
  • Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • PhD in Machine Learning, Computer Science, AI, or a closely related field.
  • Published at least one main conference paper at ICML, NeurIPS, or ICLR.
  • Strong preference for candidates with 2+ publications at these venues.
  • Demonstrated experience conducting original ML research.

Preferred

  • Expertise in Reinforcement Learning (RL).
  • Experience with Meta-Learning.
  • Knowledge of Recursive Self-Improvement.
  • Familiarity with AI for Science (e.g., weather forecasting, protein modeling, scientific discovery).

Start Date

  • Urgent; initial data/results expected Monday / Tuesday 27th July.

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.