Position title
AI Training Specialist – Data Labeling & Annotation
Description

Job Summary

HR Talent Solutions is seeking a highly detail-oriented and motivated AI Training Specialist – Data Labeling & Annotation to join our growing artificial intelligence team. This role is critical in supporting the development of advanced machine learning and AI models by ensuring the accuracy, quality, and consistency of labeled datasets.

As an AI Training Specialist, you will work closely with data scientists, engineers, and AI researchers to prepare high-quality training data that powers intelligent systems such as chatbots, computer vision applications, speech recognition, and predictive analytics tools. This is an excellent opportunity for individuals passionate about AI, data, and emerging technologies to build a future-focused career in a fast-growing industry.

Key Responsibilities

  • Perform accurate data labeling and annotation across multiple data types (text, images, audio, video).

  • Classify, tag, and structure datasets according to project guidelines and quality standards.

  • Review and validate labeled data to ensure high accuracy and consistency.

  • Collaborate with AI engineers and data scientists to understand model requirements.

  • Identify data quality issues and provide feedback for process improvements.

  • Follow detailed annotation guidelines and adapt to evolving project needs.

  • Participate in training sessions and calibration exercises to maintain annotation quality.

  • Maintain documentation of labeling processes and best practices.

Required Skills and Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field (preferred but not mandatory).

  • Strong attention to detail and ability to follow complex instructions.

  • Basic understanding of artificial intelligence, machine learning, and data concepts.

  • Proficiency in using annotation tools and platforms (or willingness to learn).

  • Good analytical and problem-solving skills.

  • Strong written and verbal communication skills in English.

  • Ability to work independently and manage multiple tasks efficiently.

Experience

  • 0–3 years of experience in data labeling, data analysis, quality assurance, or related roles.

  • Fresh graduates with strong interest in AI and data are encouraged to apply.

  • Prior experience with NLP, computer vision, or speech data is a plus.

Working Hours

  • Full-time / Part-time options available.

  • Flexible working hours depending on project requirements.

  • Remote or hybrid work model (based on location and project needs).

Knowledge, Skills, and Abilities

  • Understanding of annotation techniques for text, image, audio, and video data.

  • Familiarity with AI workflows and training data pipelines.

  • High level of accuracy and consistency in repetitive tasks.

  • Ability to quickly learn new tools, platforms, and domain-specific knowledge.

  • Strong time management and organizational skills.

  • Team-oriented mindset with a proactive attitude.

Benefits

  • Competitive salary and performance-based incentives.

  • Flexible work schedule and remote work opportunities.

  • Hands-on exposure to real-world AI and machine learning projects.

  • Continuous learning and professional development programs.

  • Career growth opportunities in the AI and data domain.

  • Supportive and inclusive work culture.

Why Join HR Talent Solutions?

At HR Talent Solutions, we believe in empowering talent and shaping the future of work through technology. By joining our team, you will:

  • Work on cutting-edge AI projects with global impact.

  • Gain in-demand skills in artificial intelligence and data science.

  • Be part of a collaborative, innovative, and forward-thinking environment.

  • Build a strong foundation for a long-term career in AI and digital transformation.

How to Apply

Interested candidates can apply by submitting their updated resume along with a brief cover letter highlighting their interest in AI and data annotation. Shortlisted applicants will be contacted for an online assessment and interview.

Employment Type
Full-time
Job Location
Manila, Manila, Metro Manila, NA, PH
Remote work from: PH
Base Salary
$10-$20 Per hour
Date posted
2026-02-14
Valid through
March 16, 2026
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