Looking For Data Annotator

Info G innovative Solutions

job description

about the role:

as a subject matter expert (sme) in data annotation, you will play a critical role in ensuring the highest quality of data labelling across various projects.

technical and domain expert

mentor annotation teams

establish annotation guidelines

conduct quality audits

support client and internal teams with domain-specific insights.

tools experience expected:

cvat, amazon sagemaker, basicai, labelstudio, superannotate, loft, cogito, roboflow, slicer3d, mindkosh, kognic, praat

annotation expertise areas:

image, video: bounding box, polygon, semantic segmentation, keypoints

3d point cloud: lidar annotation, 3d cuboids, semantic segmentation

audio annotation: speech, noise labelling, transcription

text annotation: ner, sentiment analysis, intent detection, nlp tasks

exposure to llms and generative ai data annotation tasks (prompt generation, evaluation)

key responsibilities:

act as a subject matter expert to guide annotation standards, processes, and best practices.

create, refine, and maintain detailed annotation guidelines and ensure adherence across teams.

conduct quality audits and reviews to maintain high annotation accuracy and consistency.

provide domain-specific training to data annotators and team leads.

collaborate closely with project managers, data scientists, and engineering teams for dataset quality assurance.

resolve complex annotation issues and edge cases with data-centric solutions.

stay current with advancements in ai/ml and annotation technologies and apply innovative methods.

support pre-sales and client discussions as an annotation domain expert, when required.

key performance indicators (kpis):

annotation quality and consistency across projects

successful training and upskilling of annotation teams

timely resolution of annotation queries and technical challenges

documentation of guidelines, standards

client satisfaction on annotation quality benchmarks

qualifications:

bachelor's or master's degree in a relevant field (computer science, ai/ml, data science, linguistics, engineering, etc.)

36 years of hands-on experience in data annotation, with exposure to multiple domains (vision, audio, text, 3d).

deep understanding of annotation processes, tool expertise, and quality standards.

prior experience in quality control, qa audits, or sme role in annotation projects.

strong communication skills to deliver training, documentation, and client presentations.

familiarity with ai/ml workflows, data preprocessing, and dataset management concepts is highly desirable.

work location:

in-person (salem, tamil nadu)

schedule:

day shift

monday to saturday

weekend availability required

supplemental pay:

overtime pays

performance bonus

shift allowance

yearly bonus

languages required :tamil(oral communication must),english,hindi(good to have)

contact:(hr)

job type: full-time

schedule:

day shift

experience:

data annotation: 2 years (preferred)

work location: in person

• Experience

  5 - 7 Years

• No. of Openings

  5

• Education

  B.A, B.B.A, B.Com, B.Sc, B.E, B.Tech, M.C.A, M.Com, M.Sc, M.Tech

• Role

  Data Annotator

• Industry Type

  Engineering / Cement / Metals

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Office

• Face interview location

  293/4, MG Rd, New Fairlands, Alagapuram Periyaputhur, Salem, Tamil Nadu 636016