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Part Time Remote Project Engineer Jobs in Denver, CO

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Part Time Remote Project Engineer information

See Denver, CO salary details

$46.3K

$93.3K

$140K

How much do part time remote project engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for part time remote project engineer in Denver, CO is $93,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,200.00 and $106,500.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Remote Project Engineer vs Part Time Remote Construction Coordinator?

AspectPart Time Remote Project EngineerPart Time Remote Construction Coordinator
CredentialsBachelor's in Engineering, relevant certifications (e.g., PE)Associate's or Bachelor's in Construction Management or related field
Work EnvironmentOffice, site visits, remote workOffice, site supervision, remote coordination
Industry UsageEngineering firms, project management companiesConstruction firms, contracting companies
Common Search IntentProject planning, technical oversightSite coordination, project scheduling

The Part Time Remote Project Engineer focuses on technical project planning and engineering oversight, often requiring engineering credentials. In contrast, the Part Time Remote Construction Coordinator handles site coordination and project scheduling, typically with construction management experience. Both roles involve remote work but serve different functions within the construction and engineering industries.

What are the most commonly searched types of Remote Project Engineer jobs in Denver, CO?

The most popular types of Remote Project Engineer jobs in Denver, CO are:

Part Time Remote Project Engineer jobs near you
Infographic showing various Part Time Remote Project Engineer job openings in Denver, CO as of June 2026, with employment types broken down into 85% Full Time, 9% Part Time, 3% Temporary, and 3% Contract. Highlights an 35% Physical, 3% Hybrid, and 62% Remote job distribution, with an average salary of $93,298 per year, or $44.9 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Westminster, CO • Remote

$90 - $120/hr

Part-time

Posted 20 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply