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Internship Remote Program Evaluation Jobs in Alabama

New programs begin every month, you choose the month you wish to start.

New programs begin every month, you choose the month you wish to start.

New programs begin every month, you choose the month you wish to start.

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Internship Remote Program Evaluation information

What are the key skills and qualifications needed to thrive as an Internship Remote Program Evaluation specialist, and why are they important?

To excel in an Internship Remote Program Evaluation role, you need strong analytical skills, attention to detail, and a background in social sciences, education, or a related field. Familiarity with data analysis tools like SPSS, Excel, or survey platforms, as well as knowledge of evaluation frameworks, is typically required. Excellent written communication, time management, and the ability to work independently are crucial soft skills for remote collaboration. These competencies ensure accurate assessment of program effectiveness and seamless teamwork in a virtual environment.

What types of projects or tasks can I expect to work on during a remote program evaluation internship?

As a remote program evaluation intern, you'll typically assist with data collection, analysis, and reporting for various organizational initiatives. Your daily tasks may include designing surveys, conducting literature reviews, synthesizing findings, and helping to prepare evaluation reports or presentations. You'll often collaborate with program managers, data analysts, and evaluation specialists through virtual meetings and shared platforms. This role offers a valuable opportunity to develop research and analytical skills while gaining insight into how organizations measure the effectiveness of their programs.

What is a remote internship in program evaluation?

A remote internship in program evaluation is a work experience opportunity where interns assist organizations in assessing the effectiveness, efficiency, and impact of their programs or projects, all while working from a remote location. Interns may collect and analyze data, prepare reports, and contribute to recommendations for program improvement. This role typically involves collaborating with supervisors and team members through virtual meetings, emails, and digital tools. It offers valuable experience in research, data analysis, and the practical application of evaluation methodologies.

What is the difference between Internship Remote Program Evaluation vs Remote Program Coordinator?

AspectInternship Remote Program EvaluationRemote Program Coordinator
Required CredentialsTypically pursuing or holding a degree in education, social sciences, or related fieldsOften requires experience in program management, communication, or administrative skills
Work EnvironmentPrimarily remote, focusing on assessing internship programs and outcomesRemote or hybrid, managing and coordinating various program activities
Employer & Industry UsageEducational institutions, non-profits, or corporations offering internshipsOrganizations across industries managing multiple remote programs
Common Search & ComparisonYesNo

Internship Remote Program Evaluation focuses on assessing the effectiveness of internship programs, analyzing outcomes, and providing feedback. In contrast, a Remote Program Coordinator manages and organizes various remote programs, ensuring smooth operations. While both roles may work remotely and require strong communication skills, their core responsibilities differ significantly, with evaluation emphasizing analysis and reporting, and coordination emphasizing management and logistics.

What are popular job titles related to Internship Remote Program Evaluation jobs in Alabama? For Internship Remote Program Evaluation jobs in Alabama, the most frequently searched job titles are:
What cities in Alabama are hiring for Internship Remote Program Evaluation jobs? Cities in Alabama with the most Internship Remote Program Evaluation job openings:
Remote Quantitative AI Evaluator & Model Validator

Remote Quantitative AI Evaluator & Model Validator

DataAnnotation

Montgomery, AL • 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