Data and Robotics Operations Analyst - 100% remote - Latin America based

This is a 100% remote position for candidates based in Latin America.
To support our physical fleet in the field, this role requires working a 40-hour week on Pacific Time (PT) across Monday, Tuesday, Wednesday, Friday, and Saturday (Thursdays and Sundays are OFF). Candidates must be comfortable with weekend morning coverage (Saturdays starting at 4:00 AM PT).
Glacier is a Series A startup based in San Francisco that builds in-house computer vision models to power two core products:
- a robot that identifies and sorts materials inside recycling facilities
- an analytics system that tracks recyclables and reports metrics to key stakeholders in the industry.
These technologies are already helping to divert tons of recyclables (literally!) from landfills every day.
From major CPG companies like Colgate and Amazon https://www.packworld.com/sustainable-packaging/recycling/article/22953724/colgatepalmolive-amazon-glacier to municipal recycling facilities, our clients trust us to turn recycling data into actionable insights. Our technology has been recognized as one of TIME's Best Inventions https://time.com/collections/best-inventions-2025/7318523/glacier-recycling-robots/ and featured in a TIME documentary, TechCrunch https://techcrunch.com/podcast/glacier-is-training-ai-powered-recycling-robots/, Fortune https://fortune.com/2024/06/12/these-ai-enabled-recycling-robots-are-helping-businesses-be-more-sustainable/, and CBS https://www.cbsnews.com/sanfrancisco/news/glacier-recycling-robotics-ai-artificlal-intelligence-trash-waste/.
We’re thrilled to expand our incredible team with a dedicated Data and Robotics Operations Analysts based in Latin America.
About us:
- Our founders come from Facebook engineering and Bain consulting.
- We’re backed by top-tier VCs with extensive technical and industry expertise.
- We have several machines in production and a robust pipeline of upcoming deployments.
Here's where your expertise comes into play:
We’re looking for a detail-oriented individual to help keep our growing fleet of robots operational and ensure their success in the field. You will play a crucial role in monitoring our systems and reporting key insights to enable swift issue resolution and support new deployments.
Your responsibilities:
- Answer inbound customer calls, conduct first-round troubleshooting, and communicate findings clearly and professionally using defined scripts and guidelines
- Produce accurate and error-free internal and external reports in English for both technical and non-technical audiences, including documentation to support customer acceptance testing procedures
- Monitor the Scanner and Robotic fleet by running a set of queries and following defined processes.
- Routing anomalies in robot behavior or other data sources to the correct internal escalation teams to support customer issue resolution.
- Support the success of new robot installations and scanner deployments through meticulous monitoring of robot behavior and data evaluations.
Requirements:
- 2+ years of experience in a role focused on data analysis, operations analysis, or product support, specifically involving data monitoring and reporting.
- Proven ability to meticulously monitor data, identify anomalies, and follow defined processes with exceptional attention to detail.
- Comfort and experience working with software, computer, or electromechanical systems in a diagnostic or support capacity.
- English Fluency (B2 or higher), as you will be working with a US-based team.
- Experience working with US companies or clients is a plus.
Why Join Us?
- Mission-Driven Work – Be part of a company dedicated to sustainability and ending waste.
- Cross-Functional Impact – Work closely with engineering and field operations to solve complex problems with meaningful outcomes.
- Backed to Succeed – Our founders bring experience from Facebook and Bain, and we’re supported by top-tier investors with deep technical and industry expertise.
Role Specifics:
- Contract position for 6-12 months with a monthly fixed rate
- Fully remote
Work Schedule (Pacific Time):
- Monday, Tuesday & Friday: 8:00 AM – 4:00 PM PT (8 hrs)
- Wednesday: 9:00 AM – 4:00 PM PT (7 hrs)
- Saturday: 4:00 AM – 1:00 PM PT (9 hrs)
- Thursday & Sunday: OFF
- Total: 40 hours / week

Skills
Swift, Data Analysis, Computer Vision, Documentation

Experience
2+ yrs

Employment type
Contract

Work arrangement
Yes