TROOPERS offers work from home arrangements and half-day work on the last Friday of every month

Flexi Friday

TROOPERS fosters a dynamic work culture that thrives on innovation and collaboration. The best idea wins!

Dynamic Work Culture with Real Impact

TROOPERS offers a competitive leave structure, including Flexi-Fridays for a better work-life balance.

Competitive Leave Entitlement

Your career and personal growth is our priority and we ensure that in our fast-paced environment


Accelerate Your Growth

Part of Asia's largest Human Capital SaaS platform

A BetterPlace company

We are expanding fast, and there are travelling opportunities 



Regional based local company

TROOPERS

TROOPERS, a BetterPlace company, envisions positively disrupting the part-time, freelance, and gig worker culture through technology. Based on our core values of Accountability, Legitimacy, and Transparency, our company focuses on increasing accountability in performance output, providing a trustworthy and safe ecosystem for job seekers in the gig economy, and transparency in what we do.
Our people-first strategy is enabled by our proprietary tech platform, enabling us to capture the entire ecosystem of the frontline workforce hiring. We always look for ways to push the boundaries of limitations by being innovative and by going the extra mile.
We are a seasoned team of experts with presence in Malaysia, Singapore, Indonesia, Thailand, Philippines, Vietnam, India, and the Middle East, and as we grow our presence in Asia and globally, TROOPERS is continuously looking for new talent to grow the company with.

About Us

TROOPERS values a people-centric culture that prioritizes employee well-being and growth, recognizing their pivotal role in driving the company's success.
The culture emphasizes accountability, with employees encouraged to take ownership of their roles, fostering a sense of responsibility and accomplishment.
Collaboration is central at TROOPERS, where teamwork and innovation thrive through open communication and idea-sharing.
Innovation is actively encouraged, pushing boundaries and nurturing a forward-thinking atmosphere.
Transparency is fundamental, with open communication promoting trust and alignment with the company's goals.
TROOPERS' global presence promotes diversity, enriching the work environment and broadening perspectives.
A growth mindset is integral, encouraging employees to view challenges as opportunities for personal and professional development.
Inclusivity is at the heart of the culture, ensuring that all voices are heard, celebrated, and respected.
In essence, TROOPERS offers a dynamic, inclusive, and growth-oriented environment where employees are empowered to contribute to the company's success while nurturing their own development.

About Our Culture

We are Troopers! 

Role Overview : You will be taking raw footage of manual workers and turning it into clean, structured, labelled data that robotics companies can use to train their robots. Quality is everything in this role — bad data is worse than no data.&nbsp;
Key Responsibilities:&nbsp;
<ul>
<li>Research what training data formats and annotation standards robotics companies actually need</li>
<li>Set up and manage a video labelling workflow using standard tools (e.g. Label Studio, CVAT, Roboflow)</li>
<li>Label raw footage clips — tagging body keypoints, action types, and work context</li>
<li>Build and run a QC checklist on each data batch before it goes to clients</li>
<li>Flag and manage rejected footage — document reasons and feed back to the hardware team</li>
<li>Package labelled datasets in the format requested by each robotics partner</li>
<li>Document the full labelling process so it can be handed to gig workers at scale</li>
<li>Present findings at Month 2 and Month 4 milestone reviews</li>
</ul>

This job is an internship where you&#x27;ll turn messy video footage into clear data for robot training. You might like this job because you’ll ensure quality data and help innovate robotics while using cool tools like Label Studio!

Kerja ini adalah untuk Intern Machine Learning yang bertugas mengubah rakaman video pekerja kepada data yang terstruktur dan dilabel. Anda mungkin berminat dengan kerja ini kerana ia penting dalam membantu syarikat robotik melatih robot dengan data berkualiti tinggi.

Machine Learning

Artificial Intelligence

Detail Oriented

Python (Programming Language)

Research

Artificial Intelligence Systems

Role Overview : You will be taking raw footage of manual workers and turning it into clean, structured, labelled data that robotics companies can use to train their robots. Quality is everything in this role — bad data is worse than no data._
Key Responsibilities:_



-Research what training data formats and annotation standards robotics companies actually need


-Set up and manage a video labelling workflow using standard tools (e.g. Label Studio, CVAT, Roboflow)


-Label raw footage clips —...

Internship Intern Machine Learning (Labelling & QC)

TROOPERS

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TROOPERS