Bilingual AI Trainer

Job Title: Bilingual AI Trainer

Job Type: Contract (Full-Time or Part-time)

Location: Remote

Job Summary:

Join our customer's team as a Bilingual AI Trainer and play a pivotal role in shaping next-generation AI solutions. Utilize your language expertise and communication skills to enhance AI systems by providing culturally relevant, accurate, and high-quality language data across multiple languages. Work remotely in a dynamic, forward-thinking environment that values your contributions.

Key Responsibilities:

• Develop, review, and refine multilingual datasets to train AI models for improved linguistic accuracy and cultural relevance.
• Assess and provide feedback on AI-generated outputs to ensure high-quality and contextually appropriate responses.
• Collaborate with engineers and data scientists to optimize AI training processes.
• Translate, annotate, and curate data across multiple languages as required by project objectives.
• Document linguistic nuances and insights to improve AI system performance.
• Participate in quality assurance processes to maintain excellence in AI outputs.
• Contribute to ongoing process improvements and knowledge-sharing within the team.

Required Skills and Qualifications:

• Proficiency in at least two languages, with exceptional command of written and verbal communication.
• Demonstrated experience in linguistic, translation, or content moderation roles.
• Strong attention to detail, especially in evaluating language data for accuracy and relevance.
• Comfortable working in a fully remote, collaborative environment.
• Ability to quickly grasp new technologies and adapt to evolving project requirements.
• Excellent organizational skills and ability to manage multiple tasks effectively.
• Commitment to confidentiality and data privacy best practices.

Preferred Qualifications:

• Experience training AI or working directly with machine learning data sets.
• Background in linguistics, computational linguistics, or related fields.
• Familiarity with industry-standard annotation tools and processes.