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AI Data Labeler / AI Data Annotator at Mindtech

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Fluent in English, written and spoken, 2 years experience in data labeling, Experience in error analysis and quality control, Strong attention to detail, Proficient in Excel/Google sheets.

Key responsabilities:

  • Annotate data for various uses
  • Ensure accuracy and reliability of data
  • Conduct error analysis and validate models
  • Manage internal systems for timely deliveries
  • Identify opportunities for system enhancements
MindTech logo
MindTech Scaleup http://mindtechcompany.com/
51 - 200 Employees
See more MindTech offers

Job description

Data Operations Specialist
Mindtech is your gateway to exciting and impactful tech projects. We specialize in end-to-end
software outsourcing, linking Latin American talent with global opportunities. Our fast, cost-
effective approach ensures that our clients receive exceptional service and innovative solutions.
With a diverse team of over 70 skilled professionals across Latin America and the US, we are
committed to delivering software that drives success.

Position Overview:

As a Data Operations Specialist, you will play a key role in ensuring high-quality,
customer-facing data deliverables. You will be responsible for managing data quality assurance
processes, annotating datasets, conducting error and data analysis, and operating our internal
systems to ensure timely, accurate deliveries to clients. This is a critical role for someone
passionate about data, technology, and maintaining high standards of operational efficiency.


Key Responsibilities:


• Annotation: Label data to support many usages, from model improvements to evaluation.
• Data Quality Assurance: Ensure the accuracy and reliability of customer-facing data, both
input and output.
• Error Analysis: Conduct thorough error analysis to validate model results, identify
anomalies, and suggest areas for improvement.
• Data Analysis: Work with our G2M team to answer customer-related questions •
System Operation: Manage and operate internal data systems to ensure that all customer
deliverables are met on time and to the highest quality standards.
• Continuous Improvement: Identify opportunities for system enhancements and
collaborate with the data science team to elevate model performance.


Desired Skills & Qualifications:


• Fluent in written and spoken English at a professional level.
• 2 years’ experience in data labeling, error analysis, and quality control.
• Strong attention to detail and ability to work independently while maintaining accuracy and
efficiency.
• Excellent communication skills with the ability to collaborate across global teams.
• Experience using Excel/Google sheets
• Familiarity with NLP labeling or AI model development

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Other Skills

  • Google Sheets
  • Microsoft Excel
  • Detail Oriented
  • Verbal Communication Skills

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