Embedded Systems And RF Evaluation Engineer

OpenTrain AI, Inc.

United States

Remote

USD 136,000 - 194,000

Part time

2 hours ago

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Job summary

OpenTrain AI, Inc. is seeking an Embedded Systems and RF Evaluation Engineer for a remote, part-time engagement in the United States. You will create real-world embedded and RF scenarios, review AI-generated work for accuracy and feasibility, and evaluate firmware and RF designs with independent, clear feedback.

The role requires hands-on experience in embedded systems, DSP, RF, or related engineering fields, with strong communication and ability to work asynchronously from a remote location.

Qualifications

Two+ years hands-on embedded systems or RF engineering experience.
Master's or PhD in a related field; or bachelor's with strong industry experience.
Strong written communication and ability to work independently in a remote, asynchronous setting.

Responsibilities

Create expert-level embedded and RF evaluation scenarios.
Review AI-generated work for technical accuracy, feasibility, and professional soundness.
Evaluate firmware architectures, RF designs, signal analysis, and wireless communications.
Provide structured feedback covering strengths, risks, and improvements.

Skills

Embedded firmware

Digital signal processing

RF systems

Wireless communications

Hardware/software integration

Embedded debugging

MATLAB/Simulink

Python

SPICE/LTspice

Altium

KiCad

GNU Radio

Microcontrollers

FPGAs

SoCs

Education

Master's or PhD in electrical or computer engineering

Bachelor's in electrical or computer engineering with strong industry experience

Tools

MATLAB

Simulink

SPICE

LTspice

Altium

KiCad

GNU Radio

Job description

Embedded Systems And RF Evaluation Engineer

Create realistic embedded systems and RF engineering problems, then review AI-generated work for accuracy, feasibility, calculations, and professional standards. This remote U.S. project offers up to $120 per hour with flexible asynchronous work.

Remote Hourly $120/hr

$120/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open to applicants in

United States

The work

You will help evaluate how well AI systems handle real embedded systems and RF engineering work. You will create realistic technical problems and assess generated answers, designs, calculations, and recommendations.

The work covers embedded firmware, digital signal processing, RF systems, wireless communications, hardware and software integration, and embedded debugging. You will work independently and provide clear feedback that helps improve model performance.

Create expert-level scenarios based on embedded design, development, testing, debugging, and deployment.
Review AI-generated work for technical accuracy, practical feasibility, sound assumptions, and alignment with professional engineering practice.
Evaluate firmware architectures, signal analysis, RF designs, communications systems, calculations, methods, and technical recommendations.
Write structured feedback covering strengths, errors, risks, and ways the work could improve.

What it pays and takes

This is an ongoing, project-based contractor opportunity that can be completed alongside another role. Work is remote and asynchronous, and the role is open to candidates in the United States.

Pay: Up to $120 per hour.
Time: 20 or more hours per week.
Experience: At least two years of hands‑on industry experience in embedded systems, digital signal processing, RF, or a related engineering field.
Education: A master's or doctoral degree in electrical, electronics, computer engineering, or a closely related field. A bachelor's degree in electrical or computer engineering may qualify with strong industry experience.
Expertise: Depth in at least one area such as embedded firmware, real‑time or safety‑critical systems, digital signal processing, RF circuit or system design, antenna and electromagnetic systems, wireless communications, hardware and software integration, or embedded hardware testing.
Communication: Strong written communication, close attention to detail, and the ability to explain complex engineering ideas clearly.
Work style: Ability to work independently in a remote, asynchronous setting. Candidates who meet two of the three core criteria are also encouraged to apply.
Useful tools and background: MATLAB or Simulink, Python, SPICE, LTspice, Altium, KiCad, GNU Radio, microcontrollers, FPGAs, SoCs, RF test equipment, software‑defined radios, PCB design, signal integrity, EMI or EMC, hardware validation, Wi‑Fi, Bluetooth, cellular, GNSS, or LoRa.
Relevant industries include embedded systems, semiconductors, telecommunications, aerospace, defense, automotive, consumer electronics, and engineering technology.

About AI training work

AI training work uses human judgment to help artificial intelligence systems learn from examples and produce better answers. In this role, your engineering experience helps assess whether AI-generated technical work is accurate, practical, and professionally sound.

People with specialized experience are needed because models must learn how real engineering decisions, calculations, testing, and constraints work in practice.

Create IEP and intervention scenarios, explain decisions, and rate AI responses for educational and legal fit. Remote contract work pays $40 to $70 per hour, with 20+ hours weekly.