Data Labeling Specialist, India

RHOMBUS IS ONLY CONSIDERING CANDIDATES CURRENTLY BASED IN INDIA. NO OTHER LOCATIONS WILL BE CONSIDERED, PLEASE DO NO APPLY IF YOU DO NOT MEET THIS REQUIREMENT.

Location

India (Remote)

Status:

This is a part-time position that begins immediately. (NOT FULL TIME) We are considering transitioning exceptional Data Labelers to full-time in the future.

Job Description

We are a cutting-edge defense technology firm that is renown for building next-generation AI systems for national security applications. We seek highly motivated, execution-focused individuals in India to join our remote team as Data Labeling Specialists for an urgent and high-priority client deliverable involving overhead imagery analysis. If you have any GIS/QGIS background, please apply!

As a Data Labeling Specialist, you will play a critical role in training object detection AI by accurately labeling image data. You'll work within a tightly focused and collaborative team, operating at a high tempo to meet tight deadlines and stringent quality standards. This is an ideal role for individuals who are extremely detail-oriented, analytical, and excited to contribute to impactful defense-related AI work.

We will rely on you to produce high-accuracy actions under demanding timelines, over several months. We only seek those that will sustain this work ethic and enthusiasm, and like the rest of us, find ways to exceed expectations. We are considering transitioning select Data Labelling team members into a full-time roles as we scale our work.

Responsibilities

• Accurately Identify, analyze, and label objects in satellite or aerial imagery. Apply sound logic on edge cases and don't assume when you're not sure.
• Communicate! Proactively communicate with project leadership and technical teams to provide updates, transparently reporting on progress, flagging and raising issues about labeling and data workflows. Don't wait for guidance, test and suggest an improvement!
• Cultivate expertise and leadership in the imagery analysis domain and gain basic machine learning knowledge to better understand how labels are utilized by our ML algorithms.

Qualifications

• Preference for those that have completed an undergraduate degree; please list your GPA in your CV.
• Prior experience with imagery analysis, GIS, and labeling is highly preferred, but not required.
• Strong command over Microsoft Suite and Google tools such as Excel, Word, Sheets, etc. You must be well versed in file management- we want those who are highly organized!
• The perfect candidate for this role is someone who is adaptable, highly dependable, and can apply logic to multiple different scenarios concurrently. We're seeking candidates with proven analytical skills, and are excited to solve complex problems.
• This position is a remote role, however, candidates must be able to reliably produce, at a high degree of accuracy, over sustained timelines.
• You must be extremely quality focused, a self-starter with bias for action, and able to work in a fast-paced environment.
• You must be able to learn quickly and have a baseline of strong computer skills.