Remote English AI Trainer - NLP Dataset Specialist

Location

Malacca

Job Type

FULL_TIME

Experience

Skilled work

Job Description

Job Summary

Global MNC Tech is seeking a meticulous and motivated Remote English AI Trainer – NLP Dataset Specialist to join our dynamic AI team. In this role, you will contribute directly to the development of cutting-edge natural language processing (NLP) models by curating, annotating, and refining high-quality English datasets. Your work will ensure that AI systems are accurate, contextually aware, and capable of understanding human language with nuance. This is an exciting opportunity for individuals passionate about AI, linguistics, and data quality, with the flexibility of fully remote work.


Key Responsibilities

  • Curate, annotate, and validate high-quality English text datasets for NLP model training.

  • Review and refine AI outputs, ensuring linguistic accuracy, contextual relevance, and cultural appropriateness.

  • Collaborate with AI engineers, data scientists, and linguists to identify gaps in datasets and implement improvements.

  • Participate in continuous model evaluation by providing feedback, labeling edge cases, and improving data diversity.

  • Maintain detailed documentation of annotation guidelines, dataset versions, and quality assurance processes.

  • Stay updated on the latest NLP trends, AI model updates, and dataset management best practices.

  • Assist in testing AI behavior across multiple English dialects and variations to ensure inclusivity and accuracy.


Required Skills and Qualifications

  • Excellent command of the English language, including grammar, syntax, and semantics.

  • Strong attention to detail and ability to maintain high accuracy in repetitive tasks.

  • Experience with text annotation tools and platforms for NLP dataset creation.

  • Familiarity with AI/NLP concepts such as machine learning, large language models, and text preprocessing.

  • Good organizational and documentation skills.

  • Strong communication skills for remote collaboration.

  • Ability to adapt to changing priorities and AI model requirements.


Experience

  • Minimum of 1–3 years in AI training, data annotation, NLP dataset management, or linguistics-related roles.

  • Previous experience working with AI teams or tech companies is highly preferred.

  • Experience in remote work environments is advantageous.


Working Hours

  • Full-time remote position.

  • Flexible hours; alignment with US/UK time zones may be required depending on project needs.

  • Part-time options may be considered for highly qualified candidates.


Knowledge, Skills, and Abilities

  • Exceptional linguistic intuition and analytical skills.

  • Ability to handle large volumes of data while maintaining accuracy and consistency.

  • Familiarity with AI ethics, data privacy, and confidentiality standards.

  • Capability to provide constructive feedback to AI model developers.

  • Strong problem-solving mindset and curiosity for AI improvements.


Benefits

  • Competitive salary and performance-based incentives.

  • Fully remote work with flexible scheduling.

  • Professional development opportunities, including AI and NLP workshops.

  • Access to cutting-edge AI tools and technologies.

  • Collaborative and supportive international team environment.

  • Paid holidays, sick leave, and wellness programs.


Why Join Global MNC Tech?

At Global MNC Tech, we are pioneers in AI innovation and committed to creating technology that enhances human potential. You will join a team that values creativity, accuracy, and continuous learning while making a real impact on AI systems used worldwide. This role offers growth opportunities in the booming AI sector and the chance to work on projects that shape the future of NLP.


How to Apply

Interested candidates are invited to submit:

  1. A current resume highlighting relevant experience.

  2. A cover letter detailing your expertise in NLP data annotation and AI training.

  3. Examples of previous annotation or linguistic work, if available.

Additional Details

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