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Remote Computer Chip Engineer Jobs in Colorado (NOW HIRING)

Alignerr

Computer Engineering

Denver, CO · Remote

$35 - $60/hr

Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Computer Engineering - AI Data Trainer Type : Hourly Contract Compensation : $35-$60 /hour Location

Cape Fox Corporation

Senior Computer Programmer

Lakewood, CO · On-site +1

$110K - $134.19K/yr

Job Title Senior Computer Programmer Cape Fox subsidiary, Cape Fox Federal Integrators (CFFI), is ... Category Information Technology Location Denver - Dept. of Interior - Lakewood, CO 80225 US Remote ...

AECO Co

Senior Structural Engineer - Remote (US)

Denver, CO · On-site +1

$103.40K - $140.50K/yr

Remote Primary Location: US - Denver, CO - 8500 Pena Blvd Compensation: USD 130,000 - USD 170,000 ... and CAD teams Experience executing work in 3D model environments Progressive professional ...

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Remote Computer Chip Engineer information

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

To thrive as a Remote Computer Chip Engineer, you need a strong background in electrical engineering, digital/analog circuit design, and semiconductor fundamentals, typically supported by a relevant degree. Familiarity with CAD tools like Cadence or Synopsys, experience with HDL languages (such as Verilog or VHDL), and knowledge of simulation and verification systems are essential. Excellent problem-solving, self-motivation, and effective remote communication skills set top engineers apart in virtual teams. These competencies ensure high-quality chip development, efficient collaboration, and successful project delivery in a remote work environment.

What are some common challenges faced by Remote Computer Chip Engineers, and how can they be addressed?

Remote Computer Chip Engineers often face challenges related to effective collaboration, particularly when working across different time zones or with team members in various locations. Communication about design updates, debugging, and hardware testing can require extra coordination. To address these issues, teams typically use robust project management tools, regular video meetings, and clear documentation practices. Establishing strong communication channels and proactively sharing progress help ensure everyone stays aligned and projects move forward efficiently.

What does a Remote Computer Chip Engineer do?

A Remote Computer Chip Engineer designs, develops, tests, and optimizes microchips and integrated circuits while working from a remote location. They use specialized software tools to create blueprints, simulate chip behavior, and collaborate with other engineers online. Their work is crucial in developing faster, more efficient processors and electronic devices. By working remotely, they leverage digital communication and project management tools to coordinate with teams around the world.
What are the most commonly searched types of Computer Chip Engineer jobs in Colorado? The most popular types of Computer Chip Engineer jobs in Colorado are:
What are popular job titles related to Remote Computer Chip Engineer jobs in Colorado? For Remote Computer Chip Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Computer Chip Engineer jobs in Colorado look for? The top searched job categories for Remote Computer Chip Engineer jobs in Colorado are:
What cities in Colorado are hiring for Remote Computer Chip Engineer jobs? Cities in Colorado with the most Remote Computer Chip Engineer job openings:
Remote Computer Chip Engineer jobs near you
Infographic showing various Remote Computer Chip Engineer job openings in Colorado as of May 2026, with employment types broken down into 55% Full Time, 31% Part Time, and 14% Contract. Highlights an 100% Remote job distribution.

Computer Engineering

Alignerr

Denver, CO • Remote

$35 - $60/hr

Other

Posted 28 days ago

Job description

Computer Engineering - AI Data Trainer
  • Location: Remote
About the job
At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.
You'll challenge advanced language models on topics like computer architecture and hardware design, embedded systems and IoT, networking and distributed systems, hardware security, and systems software and operating systems-documenting every failure mode so we can harden model reasoning.
Organization
: Alignerr
Position
: Computer Engineering - AI Data Trainer
Type
: Hourly Contract
Compensation
: $35-$60 /hour
Location
: Remote
Commitment
: 10-40 hours/week
What You'll Do:
  • Develop Complex Problems: Design advanced computer engineering challenges across domains like RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design.
  • Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions, including assembly code, hardware description language (HDL) snippets, and architectural diagrams that serve as "golden responses" for AI training.
  • Technical Auditing: Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and operating system kernels for technical accuracy, efficiency, and adherence to industry standards.
  • Refine Reasoning: Identify logical fallacies in AI reasoning-such as race conditions, memory leaks, or improper timing constraints-and provide structured feedback to improve the model's "thinking" process.
Requirements:
  • Advanced Degree: Masters (pursuing or completed) or PhD in Computer Engineering, Computer Science with a hardware focus, or a closely related field.
  • Domain Expertise: Strong foundational knowledge in core areas such as Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
  • Analytical Writing: The ability to communicate highly technical hardware concepts and low-level software logic clearly and concisely in written form.
  • Attention to Detail: High level of precision when checking bit-level operations, clock-cycle timing, and technical documentation.
  • No AI experience required
Preferred
:
  • Prior experience with data annotation, data quality, or evaluation systems
  • Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI-generated code or workflows.
Why Join Us:
  • Competitive pay and flexible remote work.
  • Collaborate with a team working on cutting-edge AI projects.
  • Exposure to advanced LLMs and how they're trained.
  • Freelance perks: autonomy, flexibility, and global collaboration.
  • Potential for contract extension.
Application Process (Takes 15-20 min)
  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

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

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