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Part Time Remote Computer Vision Engineer Jobs in Simi Valley, CA

YO AI Labs

AI Finance Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... Prompt Engineering * AI Output Evaluation * Financial Analysis * Technical & Report Writing

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All JobsComputer Vision Engineer JobsPart Time Remote Computer Vision Engineer JobsPart Time Remote Computer Vision Engineer Jobs in Simi Valley, CA

Part Time Remote Computer Vision Engineer information

See Simi Valley, CA salary details

$50.1K

$125.4K

$141.9K

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

As of Aug 20, 2026, the average yearly pay for part time remote computer vision engineer in Simi Valley, CA is $125,440.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $135,700.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Remote Computer Vision Engineer vs Part Time Remote Machine Learning Engineer?

AspectPart Time Remote Computer Vision EngineerPart Time Remote Machine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related; experience with OpenCV, deep learning frameworksBachelor's or Master's in Computer Science, Data Science, or related; experience with ML frameworks like TensorFlow, PyTorch
Work EnvironmentRemote, collaborative teams, research labs, tech companiesRemote, data-driven projects, tech startups, research institutions
Industry UsageUsed in robotics, autonomous vehicles, surveillance, healthcareApplied in finance, marketing, recommendation systems, predictive analytics

While both roles involve machine learning skills, a Part Time Remote Computer Vision Engineer specializes in visual data processing, image analysis, and related algorithms, whereas a Part Time Remote Machine Learning Engineer focuses on broader data modeling and predictive systems. The choice depends on your expertise in visual technologies versus general machine learning applications.

What are popular job titles related to Part Time Remote Computer Vision Engineer jobs in Simi Valley, CA?

For Part Time Remote Computer Vision Engineer jobs in Simi Valley, CA, the most frequently searched job titles are:

What job categories do people searching Part Time Remote Computer Vision Engineer jobs in Simi Valley, CA look for?

The top searched job categories for Part Time Remote Computer Vision Engineer jobs in Simi Valley, CA are:

What cities near Simi Valley, CA are hiring for Part Time Remote Computer Vision Engineer jobs?

Cities near Simi Valley, CA with the most Part Time Remote Computer Vision Engineer job openings:

Part Time Remote Computer Vision Engineer jobs near you
Infographic showing various Part Time Remote Computer Vision Engineer job openings in Simi Valley, CA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $125,440 per year, or $60.3 per hour.

Temporary Micro-Credential Grader - Industry-Focused Prompt Engineering for ROI-Driven Results

Brandeis University

Brandeis, CA • Remote

$25 - $30/hr

Part-time

Re-posted 12 days ago

Job description

Location: Fully remote (U.S.-based applicants only, no visa sponsorships)
Division: Rabb School of Continuing Studies, Brandeis University
Type: Part-Time, 4 months, varying hours, no more than 25 hours per week
Compensation: Hourly $25-$30
Reports to: Assistant Dean of Education and Learning Innovation


Brandeis University's Rabb School of Continuing Studies is seeking a detail-oriented professional with expertise in applied AI to serve as a Micro-Credential Grader for the online asynchronous credential, Industry-Focused Prompt Engineering for ROI-Driven Results.


In this fully remote, short-term hourly position, you'll evaluate learner submissions that demonstrate practical mastery in designing, testing, and refining prompts for large language models (LLMs) to support measurable organizational objectives. This credential equips professionals with the ability to align prompt strategies with business goals, evaluate platform performance, and quantify the ROI impact of AI-driven solutions. As a grader, you'll apply structured rubrics to assess strategic thinking, prompt engineering fluency, and outcome-based reasoning.


This role offers a unique opportunity to contribute to a cutting-edge, workforce-aligned credential that bridges AI innovation with business impact.


What You Will Do

  • Evaluate learner submissions that include prompt design portfolios, platform performance analyses, and ROI impact assessments tied to real-world business use cases.

  • Apply structured rubrics to assess mastery of skills such as LLM prompt iteration, use-case alignment, performance benchmarking, and ROI quantification.

  • Review learner reflections on prompt strategy effectiveness, ethical considerations, and organizational integration.

  • Participate in calibration exercises with fellow graders (if needed) to ensure consistency in evaluating strategic, technical, and business-oriented artifacts.

  • Maintain confidentiality and objectivity throughout the grading process.

What You Bring

  • Bachelor's degree required; Master's degree preferred in Computer Science, Data Science, Business Analytics, or related disciplines.

  • Subject-matter expertise in prompt engineering, LLM capabilities, and AI deployment for business outcomes.

  • Experience in academic assessment, workforce development, or digital learning preferred.

  • Familiarity with learning management systems (Moodle preferred), online credentialing platforms, and collaborative grading workflows.

  • Professional, learner-centered approach with a commitment to academic integrity and continuous improvement.

  • Proficient in rubric-based assessment and competency validation, especially for strategic and project-based submissions.

  • Strong attention to detail and ability to maintain consistency across diverse learner artifacts.

  • Excellent written communication skills for delivering constructive, learner-focused feedback.

  • Comfortable working in asynchronous learning environments and using digital platforms.

  • Adaptability in managing multiple grading tasks within deadlines.

Pay Range Disclosure

The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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