Persian Data Annotation Specialist

**Data Annotation Specialist (AI Training)** **Company:** Agents Only Technologies Inc., a Teleperformance Company **Location:** Remote **Job Type:** Independent Contractor **Schedule:** Flexible, subject to program requirements **Scope:** Global **About Agents Only Technologies Inc.** Agents Only Technologies Inc. is a workforce and operations company, and a Teleperformance Company. We support technology, customer experience, business operations, and professional services across multiple industries, working with organizations worldwide to deliver high\-quality solutions through distributed teams and structured processes. Our community of contributors supports AI training, data annotation, and data quality programs that call for strong analytical judgment, attention to detail, and consistent delivery standards. There is no cost to apply, onboard, or work with us at any stage of the process. **Role Overview** The Data Annotation Specialist labels, tags, categorizes, and reviews text\-based data that supports the training, testing, and continuous improvement of large language models. The role calls for careful reading comprehension, sound judgment, and close adherence to project\-specific annotation guidelines, taxonomies, and quality rubrics. Day to day work covers intent classification, entity tagging, response labeling, preference ranking, quality scoring, and content categorization. Specialists work alongside Project Coordinators, Quality Assurance, and Domain Leads to keep annotations accurate, consistently applied, and delivered on schedule, while flagging ambiguous items, edge cases, and guideline gaps for review. The ideal candidate brings strong attention to detail and prior experience in data annotation, content review, quality assurance, or a related analytical discipline. **Responsibilities** As a Data Annotation Specialist, you will: * Annotate text\-based data such as prompts, responses, conversations, and documents in line with project guidelines, taxonomies, and labeling schemas. * Apply structured labels, tags, categories, and classifications accurately across large volumes of content. * Perform intent classification, entity and named\-entity tagging, sentiment labeling, topic categorization, and content review flagging. * Rank, rate, or compare multiple AI\-generated responses to the same prompt against defined quality criteria such as helpfulness, accuracy, safety, and tone. * Identify and label factual errors, guideline violations, and low\-quality responses within datasets. * Review and correct existing or machine\-generated annotations for accuracy, completeness, and consistency. * Apply correct formatting, metadata tagging, and structural conventions consistent with project standards and data schemas. * Handle ambiguous, edge\-case, or conflicting labeling scenarios according to guideline precedence rules. * Escalate unclear, low\-quality, or out\-of\-scope data to Project Coordinators or Quality Assurance. * Meet productivity targets, throughput expectations, and turnaround times while holding annotation quality steady. * Follow updated guidelines, taxonomies, and reference materials to keep large volumes of work consistent. * Participate in calibration exercises, guideline reviews, and inter\-rater reliability sessions to stay aligned with evolving project standards. * Apply feedback from Quality Assurance reviewers to improve annotation accuracy over time. * Maintain confidentiality and data security standards when handling prompt, response, and annotation content. * Use designated annotation, labeling, or data collection platforms accurately and efficiently. * Communicate proactively with Project Coordinators about guideline questions, technical issues, or capacity constraints. * Support pilot phases for new projects by giving feedback on guideline clarity and workflow usability. **Required Experience and Skills** * Strong reading comprehension in English or the assigned working language, with the ability to follow detailed written guidelines precisely. * Prior experience in data annotation, data labeling, content review, quality assurance, or a related analytical discipline. * Strong attention to detail, applying structured criteria consistently and objectively. * Ability to follow detailed and evolving annotation guidelines, taxonomies, and rubrics with precision. * Strong critical thinking skills for resolving ambiguous or conflicting labeling scenarios using guideline logic. * Comfort working with annotation, labeling, or data collection platforms and tools. * Ability to write clear, concise justifications or notes for labeling decisions where required. * Ability to work independently, manage time effectively, and meet delivery deadlines. * Strong written communication skills for guideline clarification, feedback, and escalation reporting. * Ability to handle sensitive or confidential content in line with data security and compliance requirements. **Equipment and Technical Requirements** * A personal computer running Windows 11\. * Linux operating systems and virtual machines are not supported for this program. * A stable, reliable internet connection suitable for computer\-based work. * Google Chrome is recommended for the onboarding system check. All equipment is provided by the contractor. No equipment purchase is required through us, and no fees are charged at any point. **Preferred Experience** Candidates with experience in one or more of these areas are encouraged to apply: * AI or LLM training data annotation, including reinforcement learning from human feedback labeling * Text classification, entity tagging, or natural language processing data work * Content review, trust and safety, or policy review * Linguistic annotation or computational linguistics * Quality assurance or editorial review workflows * Academic research, coding, or coursework involving structured data labeling * Customer support, transcription, or other detail\-oriented review work * Subject\-matter expertise in a specialized domain, which is an asset for domain\-specific projects **Education and Background** Candidates with an educational or professional background in any of these areas are encouraged to apply: * Linguistics or Language Technologies * Computer Science or Data Science * English, Communications, or Writing * Business Administration * Education or Research * Related analytical, technical, or language disciplines Equivalent professional experience is also considered. An advanced degree is not required for entry\-level annotation work. **Certifications** Certifications are not required for this role. The following are an asset: * AI or LLM evaluation and data annotation certifications * Data labeling, computer vision, or NLP fundamentals certifications * Quality assurance or content review certifications * Other recognized data annotation or AI training certifications **How Success Is Measured** * Annotation accuracy against gold\-standard labels and inter\-rater agreement benchmarks, with a target of 95% or higher. * Consistent application of assigned guidelines, taxonomies, and labeling schemas. * Productivity and turnaround targets met alongside quality standards. * Low error and rework rates identified through Quality Assurance review. * Timely escalation of ambiguous items, edge cases, and guideline gaps. * Positive feedback from Quality Assurance and Domain Lead reviews. * Completion of onboarding, calibration, and inter\-rater reliability requirements. * Adaptation to updated guidelines and evolving project requirements. **Important Notes** * The work calls for sustained focus during extended annotation sessions. * Some projects involve reviewing content that may be sensitive in nature. Guidelines, support, and escalation paths are provided. * Project requirements, guidelines, and volume may evolve according to program needs. * Confidentiality, data security, quality, and project\-specific compliance requirements apply throughout. * As an independent contractor engagement, this role does not include employment benefits. Contractors are responsible for their own tax obligations in their country of residence. **How to Apply** Submit your application directly through this posting. Our Recruitment Team reviews every submission, and candidates who move forward receive next steps by email. Please check your Spam, Junk, Promotions, and All Mail folders so nothing gets missed. **Equal Opportunity** Agents Only Technologies Inc. is committed to an inclusive and diverse community. We welcome applicants of all backgrounds and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. Opportunities are offered based on qualifications, skills, experience, and program needs. Work Location: Remote