What we are looking for:
At Segina & Associates, LLC, we are searching for individuals who want to make a real difference by helping develop the novel technologies needed to solve complex real‑world problems and support the nation’s warfighters. Candidates who have exposure to statistical concepts, scientific reasoning, and applying the scientific method to problem‑solving will find this environment especially rewarding.
You should be comfortable operating in uncertainty, naturally curious about how things work, and motivated by competitive, mission‑driven challenges. An undergraduate or graduate background in Biology, Chemistry, Computer Science, Engineering, Physics, Mathematics, or a related field is ideal.
Familiarity with programming languages such as Python, or experience with Rust, data analysis, or statistical modeling, is a plus but not required.
Current Job’s
Research Assistant
Overview
Segina & Associates, LLC is a federal‑grade R&D lab working on advanced AI, data‑pipeline engineering, and early‑stage TRL 2–3 research. Research Assistants support our scientific and engineering workflow by performing structured, repeatable tasks essential to preparing high‑quality datasets used in later AI and neuromorphic research stages. Successful candidates do not need prior AI experience—just discipline, attention to detail, and the ability to follow documented procedures.
Key Responsibilities
- Perform data cleaning and quality checks, including removing corrupt files, normalizing formats, checking timestamps, and running predefined scripts under supervision.
- Assist with dataset organization, maintaining folder structures, labeling conventions, and tracking metadata across large sensor and imagery datasets.
- Conduct manual and semi‑automated data labeling, tagging environmental conditions, identifying anomalies, and performing quality‑control reviews.
- Run basic preprocessing tasks, including format conversions, simple filters, and preparing files for downstream encoding steps (no algorithm development required).
- Maintain documentation and reproducibility logs, including cleaning logs, SOP checklists, data dictionaries, and workflow notes for supervisor review.
What You Will NOT Be Responsible For
- Designing or modifying AI/SNN algorithms
- Writing noise‑modeling or preprocessing code
- Selecting training data or excluding samples
- Interacting directly with research partners or downstream environments
- Handling any Controlled Unclassified Information (CUI) outside your enclave
Ideal Candidate
- Organized, reliable, and able to follow documented scientific procedures
- Comfortable with structured data tasks (Excel, folders, labels, logs)
- Interested in gaining exposure to AI, data engineering, or research environments
- Willing to work inside a compliance‑oriented, cloud‑only workspace
- Experience with Python, Rust, or basic statistical/statistical‑modeling tools is a plus (not required).
Why Join Us
- You’ll gain hands‑on experience in the foundational stages of real federal R&D work—learning how modern AI labs prepare, clean, label, and document data with the same discipline used at R1 research institutions and DoD‑affiliated labs. You’ll work under the guidance of an experienced scientific supervisor, developing skills that translate directly into graduate‑level research opportunities and industry roles.
Salary Range: $52,000 to $72,800