AI Data Specialist

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Job Responsibilities:

The ideal candidate will have a solid understanding of machine learning, data annotation, quality assurance, and natural language processing, with 3–5 years of experience in related fields. They will play a key role in updating and refining machine learning models, ensuring their accuracy, and contributing to innovative solutions. 

MAIN TASKS & RESPONSIBILITIES 

Machine Learning Model Updates 

• Maintain and update training and test model databases with new or revised synthetic textual and image data. 

• Develop and improve data creation, annotation, and rating guidelines, ensuring alignment with project objectives. 

• Collaborate with research and engineering teams to design and implement scalable solutions for updating and refining AI models. 

Model Training and Evaluation 

• Execute and optimize model training processes using internal tools and command-line interfaces, ensuring accuracy and efficiency. 

• Assess and evaluate trained model performance and provide actionable feedback for deployment readiness. 

Data Management and Annotation 

• Design, develop, and manage test and training datasets based on criteria from project leads. 

• Ensure data integrity throughout the workflow and perform relevance assessments to meet project goals. 

• Conduct precise data annotation aligned with established guidelines. 

Quality Assurance and Analysis 

• Perform detailed manual quality checks on model results, identifying error patterns and anomalies for further investigation. 

• Generate comprehensive reports on findings, covering aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points. 

• Apply intermediate data analysis techniques to extract insights and inform decision-making. 

• Ensure consistent data quality by resolving discrepancies and implementing quality control measures. 

Linguistic and NLP Tasks 

• Leverage knowledge of natural language processing (NLP) and linguistics for data processing tasks. 

• Guarantee linguistic precision in all annotated and processed datasets. 

• Stay at the forefront of NLP advancements and trends, incorporating innovative methodologies into ongoing projects. 

Additional Job Details:

REQUIREMENTS 

Preferred Qualifications 

Bachelor’s degree in Computer Science, Data Science, Linguistics, Computational Linguistics, or a related field. 

Experience 

- 3–5 years of experience in machine learning, data management, or natural language processing. 

- Demonstrated ability to work effectively in a fast-paced, collaborative environment. 

Skills & Knowledge 

• Proficiency with command-line tools and interfaces. 

• Strong analytical skills, with the ability to identify patterns, anomalies, and actionable insights. 

• Excellent communication skills for reporting and cross-functional collaboration. 

• Experience in NLP tools and techniques, with a deep understanding of linguistic concepts and their application in machine learning. 

• Experience with quality assurance methodologies and tools for large-scale AI systems.