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Part Time Rf Optimization Engineer Jobs (NOW HIRING)

Performs and documents optimization techniques to include proper antenna selection for optimal ... Full-time and part-time employees working at least 30 hours a week on a regular basis are eligible ...

This is a part-time hourly position. Scheduled Weekly Hours: 12 Benefit Eligibility Group ... The City of Boulder is seeking an enthusiastic and motivated RF Engineer Intern to join our Public ...

RF Engineer, Senior

Belcamp, MD · On-site +1

$86.90K - $198K/yr

Share RF Engineer, Senior The Opportunity: Are you looking for an opportunity to combine your ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Responsibilities Peraton Labs is searching for a Part-Time Radar + RF Communications Engineer. This position will initially be 20 hours/week, with the potential to grow into a full-time position. It ...

SUMMARY Test Engineer to perform Radio Frequency (RF) Over the Air (OTA) Antenna testing on mobile products with technologies such as CDMA, GSM, UMTS, LTE, Wi-Fi, IOT, and 5G, to ensure delivery of ...

SUMMARY Test Engineer to perform Radio Frequency (RF) Over the Air (OTA) Antenna testing on mobile products with technologies such as CDMA, GSM, UMTS, LTE, Wi-Fi, IOT, and 5G, to ensure delivery of ...

... a high power RF broadcast facility. The role is focused on operational coordination and ... Temporary, part-time, benefits eligible Duration : 4 months Location: Seattle, onsite Benefits ...

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Part Time Rf Optimization Engineer information

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$37K

$117.7K

$183K

How much do part time rf optimization engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for part time rf optimization engineer in the United States is $117,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $139,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Rf Optimization Engineer jobs? The most popular types of Rf Optimization Engineer jobs are:
Prompt Engineer: LLM Migration & Optimization

Prompt Engineer: LLM Migration & Optimization

Welo Data

Charleston, WV • Remote

Part-time

Posted 13 days ago


Job description

United States • Remote • Part-Time

Are you an expert at navigating the complex logic of Large Language Models? Welo Data is seeking a technical Prompt Engineer to lead the end-to-end migration of template workflows into high-performance LLM autoraters.

This isn't just about writing prompts—it’s about engineering a technical bridge. You will use advanced APG/APO tools and manual refinement to ensure our automated systems meet (and exceed) human accuracy baselines.

The Mission: Architecting the Future of Rating
  • Technical Migration: Take ownership of the workflow for transitioning templates to LLM autoraters.
  • Optimization Leadership: Run and supervise Automated Prompt Optimization (APO) tools, identifying where logic plateaus and providing the manual "spark" to overcome deadlocks.
  • Metrics-Driven Accuracy: Continuously measure quality against gold data, calculating critical performance metrics like precision, recall, and $F_1$ scores.
  • Edge-Case Engineering: Solve complex scenarios by designing manual prompts that handle anti-patterns and broken logic in legacy architectures.
Project Details
  • Schedule: Part-Time (Flexible hours within project milestones)
  • Location: 100% Remote (Must be based in the United States)
  • Employment Type: Freelance / Independent Contractor
 Who We Are Looking For
  • Linguistic & AI Mastery: 2+ years of experience as a Prompt Engineer. You must be comfortable tuning LLMs for structured outputs and complex classification tasks.
  • Academic Background: BS, MS, or PhD in Computer Science, Data Science, Computational Linguistics, or a related analytical field.
  • Technical Agility: Fast learner capable of mastering proprietary internal tools and interfaces (like the Goose API) with minimal supervision.
  • Data Fluency: Strong ability to identify error patterns and use SQL or data analytics tools to analyze model performance.
Preferred Skills
  • Familiarity with shadowbot disagreement tracking between humans and LLMs.
  • Hands-on experience with Chain-of-Thought (CoT) and few-shot learning.
  • Proven ability to draft high-level Launch Certification Documentation.