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Remote Program Evaluation Jobs in Texas (NOW HIRING)

Job Title Strategic Program Manager II - Remote Requisition Number R7749 Strategic Program Manager ... Implement strategic policies when selecting methods, techniques, and evaluation criteria for ...

Sr. Program Manager

Dallas, TX · On-site +1

$114.80K - $115.20K/yr

Exercises judgment in selecting methods techniques and evaluation criteria for obtaining results ... Experience facilitating large meetings, webinars, educational seminars with local and/ or remote ...

Whether you're looking for a full-time, part-time, on-site, hybrid, or remote role, we have options ... Conduct research and program evaluation to inform evidence-based practices and interventions within ...

IFM Program Manager

Dallas, TX · Remote

$85K - $95K/yr

IFM Inspection Program Manager - Remote in Dallas, TX or Richmond, VA The Inspection Manager oversees comprehensive facility assessment programs, managing building condition evaluations, compliance ...

Experience in AI, search engine evaluation, or data analysis is a plus, but not essential. * Surf ... Seeks a flexible, remote job that can easily fit around other commitments. Project Details: Pay ...

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Remote Program Evaluation information

See Texas salary details

$32.6K

$60.3K

$92.2K

How much do remote program evaluation jobs pay per year?

As of May 29, 2026, the average yearly pay for remote program evaluation in Texas is $60,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,300.00 and $70,800.00 per year, depending on experience, location, and employer.

What is a Remote Program Evaluation job?

A Remote Program Evaluation job involves assessing the effectiveness, efficiency, and impact of programs from a remote location. Professionals in this role collect and analyze data, generate reports, and provide recommendations to improve program outcomes. They may use surveys, interviews, and statistical methods to evaluate performance. This position is common in nonprofits, corporations, and government agencies that need to measure program success. Strong analytical skills, attention to detail, and experience with evaluation methodologies are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Remote Program Evaluation position, and why are they important?

To thrive in Remote Program Evaluation, you need strong analytical, research, and data interpretation skills, typically supported by a background in social sciences, public health, education, or related fields. Familiarity with evaluation frameworks, statistical software (such as SPSS or R), and data management tools is highly valuable, as are certifications like the Certified Evaluation Professional (CEP). Excellent written and verbal communication, self-motivation, and attention to detail enhance your ability to collaborate across remote teams and present findings effectively. These skills ensure accurate program assessments, actionable recommendations, and successful outcomes in a virtual working environment.

What are some typical responsibilities of a Remote Program Evaluation professional?

As a Remote Program Evaluation professional, your primary responsibilities include designing and implementing evaluation plans, collecting and analyzing quantitative and qualitative data, and generating comprehensive reports on program effectiveness. You may also facilitate virtual interviews or focus groups, collaborate with stakeholders to refine evaluation objectives, and use digital tools for data visualization and communication. The role often involves working independently, but you will regularly coordinate with program managers, data analysts, and other team members to ensure evaluation goals are met. This structure allows for flexible work hours while still contributing valuable insights to drive program improvements.
What cities in Texas are hiring for Remote Program Evaluation jobs? Cities in Texas with the most Remote Program Evaluation job openings:
Infographic showing various Remote Program Evaluation job openings in Texas as of May 2026, with employment types broken down into 2% Internship, 60% Full Time, 17% Part Time, 19% Contract, and 2% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $60,290 per year, or $29 per hour.
Remote Quantitative AI Evaluator & Model Validator

Remote Quantitative AI Evaluator & Model Validator

DataAnnotation

El Paso, TX • On-site, Remote

$60/hr

Full-time

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


Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr