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Python Developer Part Time Jobs in California (NOW HIRING)

The work is PART TIME hands-on, paid $45/hr, flexible schedule, and on-site near campus. Ideal candidate has experience with APIs (Python or JavaScript) and familiarity with Claude or ChatGPT a big ...

Experience with Python * Experience working with APIs, databases, and system integrations ... Work on cutting-edge AI systems with real operational impact * Part-time or full-time opportunities ...

Experience with Python * Experience working with APIs, databases, and system integrations ... Work on cutting-edge AI systems with real operational impact * Part-time or full-time opportunities ...

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Knowledge of one or more programming languages: Scratch, Python, Java, C#, HTML/CSS, .NET MAUI ... Compensation & Hours * Part-time or Full-time (Flexible) * Competitive pay based on experience ...

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Knowledge of one or more programming languages: Scratch, Python, Java, C#, HTML/CSS, .NET MAUI ... Compensation & Hours * Part-time or Full-time (Flexible) * Competitive pay based on experience ...

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Python Developer Part Time information

See California salary details

$13

$57

$85

How much do python developer part time jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python developer part time in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Developer Part Time, and why are they important?

To thrive as a Python Developer Part Time, you need strong programming skills in Python, experience with frameworks like Django or Flask, and a background in computer science or related fields. Familiarity with version control systems like Git, databases such as PostgreSQL or MySQL, and cloud platforms is typically required. Effective time management, problem-solving abilities, and strong communication skills are essential soft skills for this role. These skills and qualities ensure you can efficiently deliver reliable code, collaborate with teams remotely, and adapt to project requirements in a flexible work environment.

What are the typical challenges faced by part-time Python Developers when integrating with full-time teams?

Part-time Python Developers often encounter challenges related to communication and staying updated with ongoing project developments, as they are not present during all team meetings or daily stand-ups. To overcome this, it's important to establish clear channels for asynchronous communication and regularly review project documentation or code repositories. Proactively syncing with team members and utilizing collaboration tools like Slack, Jira, or GitHub can help ensure smooth integration and contribution to the team's goals.

What are Python Developer Part Time jobs?

Python Developer Part Time jobs involve working with the Python programming language to build, maintain, or enhance software applications, but on a part-time basis. This means the developer typically works fewer hours than a full-time role, often ranging from 10 to 30 hours per week. Part-time Python developers may handle tasks like writing code, debugging, developing scripts, or integrating APIs, depending on the employer's needs. These roles are common in startups, remote teams, or companies with flexible work arrangements. The flexibility allows professionals to balance other commitments while contributing technical expertise.

What is the difference between Python Developer Part Time vs Python Developer Full Time?

AspectPython Developer Part TimePython Developer Full Time
Work HoursLess than 30 hours/week40 hours/week or more
SalaryPro-rated based on hoursFull salary with benefits
Job ResponsibilitiesFocused tasks, limited scopeBroader responsibilities, project involvement
Work EnvironmentRemote or flexibleOften office-based or hybrid

The main difference between Python Developer Part Time and Python Developer Full Time lies in work hours, compensation, and scope. Part-time roles offer flexibility with fewer hours and responsibilities, while full-time positions provide comprehensive engagement and benefits. Both roles require similar skills and credentials, but the commitment level varies.

What Does a Part-Time Python Developer Do?

Python is a programming language used for data analysis and visualization. Some of your responsibilities as a part-time Python developer are to write scalable and effective code, develop an application using user-facing elements, test and debug computer programs, and create backend components to improve performance and responsiveness. Your other duties include working within the existing framework to ensure that software fits the client’s needs, implementing data protection and security solutions, examining current systems to determine where improvements could be beneficial, and prioritizing and assessing feature requests to determine if these are feasible and something that you can implement.

What are the most commonly searched types of Python Developer jobs in California? The most popular types of Python Developer jobs in California are:
What are popular job titles related to Python Developer Part Time jobs in California? For Python Developer Part Time jobs in California, the most frequently searched job titles are:
What job categories do people searching Python Developer Part Time jobs in California look for? The top searched job categories for Python Developer Part Time jobs in California are:
What cities in California are hiring for Python Developer Part Time jobs? Cities in California with the most Python Developer Part Time job openings:
Infographic showing various Python Developer Part Time job openings in California as of June 2026, with employment types broken down into 78% Full Time, 11% Temporary, and 11% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.

Data Scientist (Part-Time | Remote | $100 -$120/hr )

Call For Referral

San Francisco, CA • Remote

$100 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Data Scientist (Part-Time | Remote | $100 –$120/hr )

This range is provided by Call For Referral. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100.00/hr - $120.00/hr

Helping AI Startups Hire 0→1 Founding Engineers & Product Talent | Backend & Infra | US & Europe

Data Scientist (AI Task Evaluation & Statistical Analysis Specialist)

Hourly Contract | Part-Time Remote | $100 –$120 per hour

1. About the Role

Mercor is partnering with a leading AI research lab to hire experienced Data Scientists specializing in AI task evaluation and statistical analysis.

In this role, you will conduct comprehensive failure analysis on AI agent performance across finance-sector tasks — identifying systemic patterns, diagnosing performance bottlenecks, and improving model evaluation frameworks.

You’ll work closely with AI engineers and research analysts to transform raw evaluation data into actionable insights, strengthening the quality, fairness, and reliability of large-scale AI systems.

2. Key Responsibilities

  • Statistical Failure Analysis: Identify recurring patterns in AI agent failures across task components (prompts, rubrics, file types, tags, etc.).
  • Root Cause Analysis: Determine whether issues stem from task design, rubric clarity, file complexity, or agent limitations.
  • Dimensional Analysis: Examine performance variations across finance sub-domains, file structures, and evaluation criteria.
  • Visualization & Reporting: Build dashboards and analytical reports that highlight edge cases, performance clusters, and opportunities for improvement.
  • Framework Enhancement: Recommend refinements to rubric design, evaluation metrics, and task structures based on empirical findings.
  • Stakeholder Communication: Present key insights to data labeling teams, ML engineers, and research collaborators.

3. Required Qualifications

  • Strong foundation in statistical analysis, hypothesis testing, and pattern recognition.
  • Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis.
  • Hands‑on experience with exploratory data analysis (EDA) and feature interpretation.
  • Understanding of AI/ML evaluation methodologies and LLM performance metrics.
  • Skilled in using Excel, SQL, and data visualization tools (e.g., Tableau, Looker).

4. Preferred Qualifications

  • Experience with AI/ML model evaluation or quality assurance pipelines.
  • Background in finance or interest in learning financial domain structures.
  • Familiarity with benchmark datasets, failure mode analysis, and evaluation frameworks.
  • 2–4 years of relevant professional experience in data science, analytics, or applied statistics.

5. More About the Opportunity

  • Commitment: Part‑time, 20–25 hours/week
  • Schedule: Fully remote and asynchronous — work on your own time
  • Duration: 1–2 months, with strong potential for extension
  • Start Date: Immediate

6. Compensation & Contract Terms

  • Hourly Rate: $100–$120/hour (based on experience and region)
  • Payments: Weekly via Stripe Connect for approved work

PS: Mercor reviews applications daily. Please complete your interview and onboarding steps to be considered for this opportunity.

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