ZipRecruiter

Log In

1

Gcs Field Research Jobs (NOW HIRING)

RimePro Inc

Project Manager

Fullerton, CA · On-site

$100K - $160K/yr

Maintain communication with GCs, owners, and field teams * Ensure projects stay on schedule, within ... Medical and dental offices * R&D and lab spaces * Commercial interiors and renovations * Education ...

Absolics Inc

NPI Process Engineer

Covington, GA · On-site

... R&D and engineering on material and technology development aligned with the GCS product roadmap ... Field of study is less important than hands-on engineering experience. Experience * 3+ years of ...

RimePro Inc

Project Manager

Torrance, CA · On-site

$100K - $160K/yr

Maintain communication with GCs, owners, and field teams * Ensure projects stay on schedule, within ... Medical and dental offices * R&D and lab spaces * Commercial interiors and renovations * Education ...

Absolics Inc

NPI Process Engineer

Covington, GA · On-site

... R&D and engineering on material and technology development aligned with the GCS product roadmap ... Field of study is less important than hands-on engineering experience. Experience * 3+ years of ...

Absolics Inc

NPI Process Engineer

Covington, GA · On-site

... R&D and engineering on material and technology development aligned with the GCS product roadmap ... Field of study is less important than hands-on engineering experience. Experience * 3+ years of ...

Teledyne

Drone & Robotics Test Engineer

Orem, UT · On-site

... research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical ... This person will develop and execute test programs associated with both fielded and developmental ...

Gestalt Community Schools

K-12 Numeracy Coach

Memphis, TN · On-site

$14.50 - $19/hr

... identify research-based instructional strategies to close achievement gaps. * Provide teacher ... Specific knowledge of GCS instructional framework, TN Ready standards & assessments, and ACT ...

Rhoda AI

Robot Software Engineer

Palo Alto, CA · On-site

... S3, GCS) * Experience with ROS/ROS2 or similar robotics middleware in production or research ... field * Work across the full onboard stack alongside perception, control, and ML engineers on a ...

previous pagenext page

Showing results 21-40

All JobsScience JobsResearch JobsResearch Assistant JobsGcs Field Research Jobs

Gcs Field Research information

See salary details

$13

$21

$49

How much do gcs field research jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for gcs field research in the United States is $21.86, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $21.63 per hour, depending on experience, location, and employer.

What is a GCS field researcher?

A GCS Field Researcher is a professional who collects, analyzes, and reports data related to geographical, environmental, or social studies, often in outdoor or field settings. 'GCS' can refer to various organizations or academic programs, but commonly stands for 'Geographic and Cartographic Services' or similar fields. These researchers are responsible for designing field studies, using specialized equipment to gather data, and ensuring accurate data recording. Their work supports scientific studies, policy development, and decision-making in fields such as environmental science, geography, and social research.

What are the key skills and qualifications needed to thrive as a GCS field researcher?

To thrive as a GCS Field Researcher, you need expertise in data collection, environmental monitoring, and research methodologies, often supported by a degree in environmental science or a related field. Familiarity with GIS software, data analysis tools, and field sampling equipment is typically required. Strong observational skills, adaptability, and effective communication set standout professionals apart in this role. These abilities ensure accurate data gathering, reliable research outcomes, and effective collaboration within multidisciplinary teams.

What are some typical challenges faced by GCS field research professionals, and how can they be managed?

GCS Field Research professionals often encounter challenges such as variable weather conditions, complex logistics for remote site visits, and the need for precise data collection under tight deadlines. Managing these challenges requires strong planning skills, adaptability, and effective communication with both on-site teams and project managers. Utilizing reliable data collection tools, maintaining detailed field notes, and participating in regular team briefings can help ensure smooth operations and high-quality research outcomes.

What is the difference between Gcs Field Research vs Gcs Data Collection Specialist?

AspectGcs Field ResearchGcs Data Collection Specialist
CredentialsRelevant field certifications, research experienceData management certifications, technical skills
Work EnvironmentOutdoor, on-site research locationsIndoor/outdoor, data gathering sites
Industry UsageResearch projects, environmental studiesData collection for various projects, surveys
Search IntentResearch-focused roles, fieldworkData collection roles, technical tasks

Gcs Field Research primarily involves conducting scientific studies and experiments in outdoor environments, focusing on gathering data for research projects. Gcs Data Collection Specialist, while also involved in data gathering, often emphasizes technical skills related to data management and processing. Both roles may overlap in work environment and industry but differ in their core responsibilities and required credentials.

More about Gcs Field Research jobs

What are popular job titles related to Gcs Field Research jobs?

For Gcs Field Research jobs, the most frequently searched job titles are:

Gcs Field Research jobs near you
Infographic showing various Gcs Field Research job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $45,479 per year, or $21.9 per hour.

ML Research Engineer, Data San Francisco, CA · On-site

San Francisco, CA • On-site

Weave Robotics, Inc.
See more jobs at Weave Robotics, Inc.external

$134K - $162K/yr

Other

Posted 12 days ago

Job description

Weave was founded to build the robots we’d want to have in our own home. We believe the next generation of robotics will transform everyday life by enabling people to do more and to reclaim time to spend on what’s important.

We also believe robots are in a sense like any other product: to matter, they have to ship. Our robots are already operating in real homes and businesses, giving us the opportunity to rapidly improve from real-world experience. With a growing team, strong customer demand, and capital for expansion, we’re entering an exciting stage of growth—and we’re looking for people with exceptional talent and standards to help bring home robotics to millions of households.

The Role

Most robot learning research is graded on evals that don't survive contact with the field. Ours is graded by robots doing useful work in real homes and businesses, every day. Our fleet generates robot data at terabyte scale that’s ingested by training runs every week. Our models are only as good as what we feed them, and you’ll architect and build the pipeline that drives their behavior.

You'll turn raw fleet data (video, proprioception, actions, sensor streams) into the datasets our models train on, and follow that data into the training loop: sampling ratios, data mixes, and curricula are decisions you'll shape with the research team. The job is equal parts data engineering and data understanding: build the platform that processes millions of episodes and feeds them to training, and know the data well enough to say what correlates with good and bad model behavior.

Responsibilities

Know the data: characterize coverage, redundancy, and drift: spectral analysis on time-series, distributional statistics, clustering over embeddings.

Find the needles: dig bad data out of terabytes of episodes: bad trajectories, bad annotations, dropped frames, desynced streams, then automate the catch so it never gets through again.

Build the data lifecycle: curation, preprocessing, annotation, augmentation, versioning, and the training-ingest formats and loaders that serve it at full throughput.

Use models as instruments: embedding search to mine scenarios, model loss and disagreement as quality signals, VLM-assisted filtering and labeling.

Improve models through data: partner with researchers on model failures, then build the datasets, processing steps and samplers that target specific capabilities and failure modes, and own the sampling and mixture decisions that go into each run.

Build the eval datasets and benchmarks that measure performance across tasks, environments, embodiments, and model versions.

What you'll bring

Data engineering at scale: pipelines over terabytes, object stores (S3, GCS), distributed storage, and indexing.

Training ingest: high-throughput formats and dataloaders.

Working ML experience: you can launch a fine-tune, read a loss curve, and design an ablation to test a data hypothesis.

Analytical range: signal processing and statistics on real sensor data, and unsupervised structure-finding (PCA, UMAP, clustering) when the labels don't exist yet.

Data debugging: you can trace a problem from sensor drift through a corrupted episode to a pipeline failure.

Strong Python and software engineering fundamentals. C++ is a plus.

Nice to have

Batch processing at scale: Ray, Spark, or Dask over terabytes, with cost and throughput judgment.

Training ingest: formats and dataloaders that keep GPU clusters fed.

Workflow orchestration in production: Airflow, Kubeflow, or similar, with retries and monitoring.

Robotics data pitfalls: timestamps, clock domains, and sensor modality quirks.

Robot learning exposure: you’ve trained policies (VLAs, world models, RL) and can tell a data problem from a model problem.

#J-18808-Ljbffr

Apply