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Customer Service Specialist
- Hiring from
- Saudi Arabia
- Work type
- Remote
- Posted
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About The Company
DataAnnotation supports the development of more capable and useful artificial intelligence systems by connecting skilled people with projects that involve reviewing, evaluating, and improving AI-generated content. The work may span writing, research, reasoning, coding, and other areas of subject-matter expertise. Project requirements vary, and contributors may be invited to complete assignments that match their skills and demonstrated performance.
About The Role
As an AI Data Trainer, you will help improve AI systems by assessing model responses and providing clear, thoughtful feedback. This is a remote, project-based opportunity suited to people who can work independently, follow detailed instructions, and communicate their reasoning accurately. Depending on your background and available projects, assignments may include comparing alternative responses, checking information for accuracy, identifying gaps in logic, drafting examples, or evaluating written and technical content.
You will need to apply sound judgment while working with task-specific guidelines. Some projects may require specialized knowledge, such as programming, mathematics, science, or professional writing; others may focus on general reasoning and communication. Work availability, assignment types, and expected timelines can vary. Contributors should be comfortable adapting to changing project needs and completing work carefully without close day-to-day supervision.
Qualifications
Applicants should have strong written communication skills and the ability to explain ideas in a clear, organized, and constructive way. Careful reading, attention to detail, and consistent application of instructions are essential. You should be able to distinguish well-supported information from inaccurate or unclear claims, assess whether a response addresses a prompt, and provide useful feedback.
A relevant degree, professional experience, or demonstrated expertise may be valuable for specialized assignments, though requirements depend on the project. Programming projects may require practical coding knowledge and the ability to evaluate code for correctness, efficiency, and clarity. Other projects may favor experience in research, editing, education, or a particular subject area. Applicants should have reliable internet access, a suitable computer, and the ability to manage independent remote work. Some projects may require assessments or other qualification steps before access is provided.
Responsibilities
Review AI-generated responses for accuracy, relevance, clarity, completeness, and adherence to task requirements. Compare multiple outputs and identify which better satisfies the prompt, supporting your decisions with concise reasoning. Write or edit sample content when requested, including prompts, model responses, explanations, or examples that help guide system improvement.
For specialized assignments, evaluate subject-specific material, such as code, calculations, research summaries, or technical explanations. Follow project guidelines consistently, flag ambiguous or problematic content when appropriate, and revise work in response to feedback. Meet stated deadlines, maintain the confidentiality of project materials, and communicate professionally when clarification is needed.
Benefits
DataAnnotation offers remote work that can be completed from a location with reliable internet access. Depending on project availability and applicable terms, contributors may have flexibility in choosing when to work and which available assignments align with their skills. The opportunity can provide experience contributing to AI development and applying your expertise to varied evaluation tasks. Compensation, project scope, and payment arrangements are provided according to the terms presented for each opportunity; review those terms carefully before accepting work.
Equal Opportunity
DataAnnotation is committed to fair and respectful consideration of applicants. Opportunities are evaluated according to relevant skills, qualifications, and project requirements. We welcome individuals with varied backgrounds and experiences and do not tolerate unlawful discrimination in the selection or participation process. Applicants should be able to perform the essential requirements of the projects for which they qualify, with reasonable accommodations considered where applicable.
DataAnnotation supports the development of more capable and useful artificial intelligence systems by connecting skilled people with projects that involve reviewing, evaluating, and improving AI-generated content. The work may span writing, research, reasoning, coding, and other areas of subject-matter expertise. Project requirements vary, and contributors may be invited to complete assignments that match their skills and demonstrated performance.
About The Role
As an AI Data Trainer, you will help improve AI systems by assessing model responses and providing clear, thoughtful feedback. This is a remote, project-based opportunity suited to people who can work independently, follow detailed instructions, and communicate their reasoning accurately. Depending on your background and available projects, assignments may include comparing alternative responses, checking information for accuracy, identifying gaps in logic, drafting examples, or evaluating written and technical content.
You will need to apply sound judgment while working with task-specific guidelines. Some projects may require specialized knowledge, such as programming, mathematics, science, or professional writing; others may focus on general reasoning and communication. Work availability, assignment types, and expected timelines can vary. Contributors should be comfortable adapting to changing project needs and completing work carefully without close day-to-day supervision.
Qualifications
Applicants should have strong written communication skills and the ability to explain ideas in a clear, organized, and constructive way. Careful reading, attention to detail, and consistent application of instructions are essential. You should be able to distinguish well-supported information from inaccurate or unclear claims, assess whether a response addresses a prompt, and provide useful feedback.
A relevant degree, professional experience, or demonstrated expertise may be valuable for specialized assignments, though requirements depend on the project. Programming projects may require practical coding knowledge and the ability to evaluate code for correctness, efficiency, and clarity. Other projects may favor experience in research, editing, education, or a particular subject area. Applicants should have reliable internet access, a suitable computer, and the ability to manage independent remote work. Some projects may require assessments or other qualification steps before access is provided.
Responsibilities
Review AI-generated responses for accuracy, relevance, clarity, completeness, and adherence to task requirements. Compare multiple outputs and identify which better satisfies the prompt, supporting your decisions with concise reasoning. Write or edit sample content when requested, including prompts, model responses, explanations, or examples that help guide system improvement.
For specialized assignments, evaluate subject-specific material, such as code, calculations, research summaries, or technical explanations. Follow project guidelines consistently, flag ambiguous or problematic content when appropriate, and revise work in response to feedback. Meet stated deadlines, maintain the confidentiality of project materials, and communicate professionally when clarification is needed.
Benefits
DataAnnotation offers remote work that can be completed from a location with reliable internet access. Depending on project availability and applicable terms, contributors may have flexibility in choosing when to work and which available assignments align with their skills. The opportunity can provide experience contributing to AI development and applying your expertise to varied evaluation tasks. Compensation, project scope, and payment arrangements are provided according to the terms presented for each opportunity; review those terms carefully before accepting work.
Equal Opportunity
DataAnnotation is committed to fair and respectful consideration of applicants. Opportunities are evaluated according to relevant skills, qualifications, and project requirements. We welcome individuals with varied backgrounds and experiences and do not tolerate unlawful discrimination in the selection or participation process. Applicants should be able to perform the essential requirements of the projects for which they qualify, with reasonable accommodations considered where applicable.
