Machine Learning Apprentice (Remote)

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Manchester
2 months ago
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  • Job Title: Data Entry Executive (Remote)


  • Employment Type: Remote (Part-Time/Contract)


  • Location: Remote within one of the following countries: United States, United Kingdom, Canada, Ireland, Australia, or New Zealand.


  • Compensation: Estimated range: USD 5,000–8,000 per month, depending on location, experience, scope of responsibilities, and performance expectations for a full-time schedule.


About the Role

This role supports day-to-day operational, content, research, data, and AI-related activities to help ensure smooth delivery across multiple projects in a fully remote environment. You will collaborate closely with the team to keep information organised, tasks on track, and workflows efficient.


Key Responsibilities

  • Assist with project tasks such as content preparation, data entry and maintenance, online research, basic analysis, operations support, AI-output review, documentation, and coordination.
  • Review, organise, and update information with a high level of accuracy and attention to detail.
  • Communicate clearly with team members through written and verbal channels and provide timely updates on task status and progress.


Skills & Qualifications

  • Strong command of written English and clear, professional communication skills.
  • Comfort using digital tools such as email, spreadsheets, project management or online productivity platforms.
  • Analytical mindset with strong attention to detail and accuracy.
  • Ability to manage time, prioritise tasks, and work independently in a remote environment.
  • Interest in operations, research, content, customer support, or data-related work is helpful but not required; training and onboarding will be provided.


What We Offer

  • 100% remote work within the listed countries, with flexible scheduling aligned to team needs and agreed time zones.
  • Weekly payments via secure, compliant payment methods, with a clear and transparent compensation structure.
  • Opportunities to build skills in research, content operations, data handling, and AI-related workflows.
  • A supportive work culture that encourages feedback, learning, and long-term professional growth.


(You must be legally authorised to work in the country where you are based)


We welcome applicants from all backgrounds and make hiring decisions based solely on qualifications, experience, and business needs, in line with applicable employment and anti-discrimination laws.


Apply now to be considered for this opportunity

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