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NeoGrowth logo — NeoGrowth Data Annotation & Data Quality Intern in Thane, Maharashtra
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Data Annotation & Data Quality Intern

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Location

Thane, Maharashtra

Work Mode

Hybrid

Duration

6 months

Stipend

₹38,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹38,000/moApply on Company Website ↗

About the Internship

Join NeoGrowth in Thane as a Data Annotation & Data Quality Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on data operations work. About the role As a Data Annotation & Data Quality Intern at…

About NeoGrowth

NeoGrowth offers a mentor-led Data Annotation & Data Quality Intern in Thane with live project work in data analyst, a stipend of ₹38,000/month and a Pre-Placement Offer opportunity for strong performers.
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Thane, MaharashtraVerified employer4 openings
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Skills Required

Data AnnotationData Quality AuditingAdvanced ExcelAttention to DetailAnnotation GuidelinesBasic SQLDocumentationProcess AdherenceEnglish ComprehensionTime Management

Who Can Apply

  • Final-year students and recent graduates from Any graduate — B.A./B.Sc/B.Com/B.E./B.Tech/BCA who are based in or willing to work from Thane. You should be keen to learn Data Annotation, Data Quality Auditing, Advanced Excel on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3HR discussion — stipend, start date, expectations and offer
₹38,000/month

Stipend · 6 months

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Openings4 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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