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Worksprout
Posted 03.09.2026

Real-World Data Collection & Scraping Engineer

Software DevelopmentBangladeshOn-siteFull-time
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AI Summary

Written from the original listing. Read the full description below before applying.

The Real-World Data Collection & Scraping Engineer will build data infrastructure for robotics and machine learning systems by collecting, labeling, and processing real-world sensor data, as well as developing automated data scraping pipelines for training datasets.

Translated from Bengali

Worksprout — Software Development.

Job Opportunity: Robotics & Automation

Real-World Data Collection & Scraping Engineer

Rajshahi, Bangladesh (Onsite) Full-time 08:00 – 17:00 (BST) Hybrid 2 Openings

About WorkSprout WorkSprout is a deep-tech engineering and design partner across twelve practice areas — TinyML & Edge AI, Custom AI Development, AI Automation & Agents, Data Engineering & Collection, IoT Solutions, Hardware Prototyping, Robotics & Automation, 3D Design & Modeling, Software Development, Growth & DevOps, Branding & Creative Design, and Startup & Product Launch. We deliver systems that work in production, not just in demos.

Position Overview

You will build the data infrastructure that feeds our robotics and ML systems — collecting, labelling, and processing real-world sensor data from physical deployments, and building automated data scraping pipelines for training dataset construction at scale.

Key Responsibilities

  • Design and deploy data collection rigs on physical robot platforms in the field
  • Build automated web and API scraping pipelines for robotics dataset construction
  • Process and annotate image, video, and sensor data for ML model training
  • Develop data quality validation, deduplication, and versioning pipelines
  • Manage dataset storage and versioning with DVC or equivalent tooling
  • Coordinate field data collection sessions with robotics and hardware teams

Required Skills & Expertise

  • Python proficiency with data processing libraries (Pandas, NumPy, Dask)
  • Experience with web scraping frameworks (Scrapy, Playwright, BeautifulSoup)
  • Knowledge of data annotation tools (Label Studio, CVAT, Roboflow)
  • Familiarity with large-scale storage and dataset management practices
  • Understanding of data privacy regulations and responsible scraping ethics

Preferred / Nice-to-Have Skills

  • Experience with ROS 2 bag files and sensor data serialisation formats
  • Knowledge of distributed scraping with proxy rotation and rate limiting
  • Background in active learning or semi-supervised annotation workflows

Compensation & Benefits

Salary

Negotiable; based on skills and experience.

  • Work in the field collecting real-world robotics training data
  • Competitive salary benchmarked to international rates
  • Access to robotics lab and hardware deployment environments
  • Dedicated research time for data pipeline innovation
  • Open-source dataset contribution and publication support
  • Benefits marked with an asterisk apply to permanent employees only.

How to Apply

If your experience matches the requirements and you are ready to work on production engineering and design challenges, submit your application using the button below. We review every submission personally — no automated screening, no ghosting.

careers@worksprout.us — subject: "Real-World Data Collection & Scraping Engineer"

Quick Facts

Type Full-time

Location Rajshahi, Bangladesh (Onsite)

Mode Hybrid

Openings 2

Application deadline Rolling basis

Office hours 08:00 – 17:00 (BST)

Work days Monday – Friday

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careers@worksprout.us

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Employment Type

Full-time

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