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Part Time Data Analyst R Programming Jobs in Houston, TX

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Telework Type: Part-Time Telework * Work Location: Houston, TX, Reston, VA * Salary Range: $106,900 ... Performs and may lead geotechnical analyses such as stability of soil and rock slopes ...

Build valuation templates and analytics tools with strong optionality modelling capabilities ... A degree in Economics, Engineering, Data Science, or a related quantitative discipline. * Proven ...

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

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Part Time Data Analyst R Programming information

See Houston, TX salary details

$32.5K

$78.9K

$129.9K

How much do part time data analyst r programming jobs pay per year?

As of Jul 8, 2026, the average yearly pay for part time data analyst r programming in Houston, TX is $78,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Age is not a barrier to becoming a data analyst or data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as R programming, statistical knowledge, and experience with data tools, regardless of age.

What is the difference between Part Time Data Analyst R Programming vs Part Time Data Analyst Python?

AspectPart Time Data Analyst R ProgrammingPart Time Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentData analysis, reporting, statistical modelingData analysis, automation, machine learning projects
Industry UsageResearch, healthcare, financeTech, finance, marketing

Both roles involve data analysis in a part-time setting but differ mainly in programming language expertise. R is favored for statistical analysis and visualization, while Python is preferred for automation and machine learning tasks. Your choice depends on the specific tools and industry focus.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but a data analyst's role involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Skills in programming, statistical analysis, and understanding business context remain essential for data analysts to add value beyond automation.

Are R programmers in demand?

R programmers, including those with expertise in data analysis and statistical modeling, are in demand across industries such as finance, healthcare, and technology. Skills in R, along with knowledge of data visualization and data manipulation, increase employability in roles like data analyst and data scientist, especially as companies prioritize data-driven decision-making.

Is R important for data analysts?

R is a widely used programming language for data analysts, especially in statistical analysis and data visualization. Proficiency in R can enhance a data analyst's ability to manipulate data, perform complex analyses, and generate reports, making it a valuable skill in the field.
What are the most commonly searched types of Data Analyst R Programming jobs in Houston, TX? The most popular types of Data Analyst R Programming jobs in Houston, TX are:
What are popular job titles related to Part Time Data Analyst R Programming jobs in Houston, TX? For Part Time Data Analyst R Programming jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Part Time Data Analyst R Programming jobs in Houston, TX look for? The top searched job categories for Part Time Data Analyst R Programming jobs in Houston, TX are:
What cities near Houston, TX are hiring for Part Time Data Analyst R Programming jobs? Cities near Houston, TX with the most Part Time Data Analyst R Programming job openings:
Infographic showing various Part Time Data Analyst R Programming job openings in Houston, TX as of July 2026, with employment types broken down into 100% Part Time. Highlights an 85% In-person, 10% Hybrid, and 5% Remote job distribution, with an average salary of $78,919 per year, or $37.9 per hour.
Engineering AI Evaluator (PhD)

Engineering AI Evaluator (PhD)

micro1 AI

Houston, TX • Remote

$80 - $90/hr

Part-time

Posted 15 days ago


Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer 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. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions