Physical Scientist in Armagh

Energy Jobline ZR; Armagh; Remote; GBP 60,000 - 80,000; Full time

Job summary

A global energy job platform is seeking a proficient Data Scientist to contribute to AI development while enjoying the flexibility of remote work. Responsibilities include solving coding problems for AI systems and evaluating AI-generated code. Ideal candidates should have proficiency in a programming language and excellent writing skills. Competitive pay starts at $40+ USD per hour. This position is open to applicants in the US, Canada, UK, Ireland, Australia, and New Zealand.

Benefits

Fully remote work

Flexible schedule

Competitive pay

Impact on AI technologies

Qualifications

• Fluency in English (native or bilingual level).
• Proficiency in at least one programming language or framework.
• Excellent writing and grammar skills.
• Bachelor's degree (completed or in progress).
• Previous experience as a Software Developer, Coder, Software Engineer, or Programmer.

Responsibilities

• Design and solve diverse coding problems for AI systems.
• Write clear, high-quality code snippets and explanations.
• Evaluate AI code for accuracy and performance.
• Provide feedback to shape AI models.

Skills

Fluency in English

Proficiency in JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift

Excellent writing and grammar skills

Education

Bachelor's degree (completed or in progress)

Job description

Overview

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

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 a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.

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, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance.

• Impact: help shape the future of AI technologies.

Responsibilities

• Design and solve diverse coding problems used to train AI systems.

• Write clear, high-quality code snippets and detailed explanations.

• Evaluate AI-generated code for accuracy, performance, and clarity.

• Provide feedback that directly shapes the next of AI models.

Qualifications

• Fluency in English (native or bilingual level).

• Proficiency in at least one of the following programming or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.

• Excellent writing and grammar skills.

• A bachelor’s degree (completed or in progress).

• Previous experience as a Software Developer, Coder, Software Engineer, or Programmer.

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.