Help & Supportcareers@gravityer.com
Language Expert with 4+ years in AI and NLP-focused linguistic analysis and quality assurance.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Linguistic Analyst with experience in annotation quality review, transcription validation, multilingual dataset handling, and workflow coordination for AI and NLP-focused projects. Skilled in maintaining annotation accuracy, adhering to structured guidelines, conducting quality evaluations, and supporting process improvement initiatives in high-volume production environments. Experienced in collaborating with cross-functional teams, mentoring team members, and ensuring operational consistency across multilingual projects. Currently pursuing foundational coursework in data analytics with exposure to Excel, SQL, and reporting concepts.
Anna University
Bachelor of Engineering · Mechanical Engineering
August 1, 2014 – June 30, 2018
SOORAJ KV
Linguistic Analyst
May 1, 2022 – Present
India
SOORAJ KV
E-commerce Analyst
May 1, 2021 – April 30, 2022
India
Elements of AI
University of Helsinki
June 1, 2026 – Present
Pursuing Data Analytics Course
ExcelR (in collaboration with IBM)
June 1, 2026 – Present
Diploma in Mechanical Designing
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience in collaborating with cross-functional teams and supporting continuous improvement initiatives suggests a good cultural fit for dynamic, team-oriented environments. Their exposure to diverse linguistic projects and willingness to assist team members indicates adaptability and a collaborative mindset. The pursuit of data analytics coursework also shows a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in team collaboration, mentoring, and problem-solving, as evidenced by their experience in assisting team members, supporting workflow improvements, and addressing quality-related concerns. Their operational fit is good, with a proven ability to maintain productivity and quality in high-volume production environments and adapt to multilingual project requirements.