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Remote Computer Science Postdoc Jobs in El Paso, TX

DataAnnotation

Economist - AI Trainer

El Paso, TX · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

DataAnnotation

Astrophysicist - AI Trainer

El Paso, TX · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

DataAnnotation

Quantitative AI Trainer

El Paso, TX · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

DataAnnotation

Epidemiologist - AI Trainer

El Paso, TX · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

DataAnnotation

Quantitative Strategist

El Paso, TX · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

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Remote Computer Science Postdoc information

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$22.6K

$53.4K

$75.5K

How much do remote computer science postdoc jobs pay per year?

As of May 28, 2026, the average yearly pay for remote computer science postdoc in El Paso, TX is $53,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,300.00 and $60,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Postdoc, and why are they important?

To thrive as a Remote Computer Science Postdoc, you need a PhD in computer science or a related field, strong research and analytical skills, and a track record of scholarly publications. Familiarity with advanced programming languages, statistical analysis software, and collaborative research platforms is typically expected. Excellent written communication, self-motivation, and time management are vital soft skills for excelling in a remote academic environment. These competencies ensure that you can independently drive impactful research while effectively collaborating and sharing findings with the broader scientific community.

What are some common challenges faced by remote Computer Science postdocs when collaborating with research teams?

Remote Computer Science postdocs often navigate challenges such as time zone differences, limited face-to-face mentorship, and building rapport with team members. Effective communication tools and regular video meetings are crucial for maintaining strong collaboration and ensuring research progress. Proactively seeking feedback and participating in virtual lab meetings can help remote postdocs stay engaged and integrated with their research groups.

What is a Remote Computer Science Postdoc?

A Remote Computer Science Postdoc is a postdoctoral research position in the field of computer science that allows the researcher to work from a location outside of a traditional academic or research institution, often from home or another remote location. These positions typically involve conducting independent or collaborative research under the guidance of a principal investigator, publishing papers, and contributing to ongoing projects. Remote postdocs leverage digital communication tools to collaborate with their teams and may also participate in virtual conferences and seminars. This flexibility can make it easier to balance work with personal commitments and collaborate internationally. However, it also requires strong self-motivation and communication skills to succeed.
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Remote Computer Science Postdoc jobs near you
Quantitative Psychologist - AI Trainer

Quantitative Psychologist - AI Trainer

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). 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. #J-18808-Ljbffr

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