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Remote Autonomous Systems Engineer Jobs in Pharr, TX

Varsity Tutors

Robotics Tutor

Edinburg, TX · Remote

$18 - $40/hr

... programming for robots, control systems, and competition robotics platforms. Ability to explain sensor integration, PID control, gear ratios, and autonomous navigation while preparing students for ...

micro1 AI

Director of Biostatistics

Edinburg, TX · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ...

micro1 AI

Director of Biostatistics

Mcallen, TX · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ...

All JobsAutonomous Systems Engineer JobsRemote Autonomous Systems Engineer JobsRemote Autonomous Systems Engineer Jobs in Pharr, TX

Remote Autonomous Systems Engineer information

See Pharr, TX salary details

$43.4K

$103.2K

$135.5K

How much do remote autonomous systems engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote autonomous systems engineer in Pharr, TX is $103,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $127,400.00 per year, depending on experience, location, and employer.

What is a remote autonomous systems engineer?

Remote Autonomous Systems Engineers are professionals who design, develop, and maintain autonomous systems—such as drones, robots, or vehicles—while working remotely. They use advanced software, sensors, and algorithms to ensure these systems can operate independently and safely. Their work involves tasks like programming control systems, integrating hardware components, and troubleshooting issues from a remote location. These engineers often collaborate with teams virtually and leverage cloud-based tools to monitor and update autonomous systems deployed in various environments.

What are some common challenges faced by remote autonomous systems engineers, and how can they be addressed?

Remote Autonomous Systems Engineers often encounter challenges related to communication and collaboration, as they work with multidisciplinary teams across different locations and time zones. Managing system integration and troubleshooting without on-site access can also pose difficulties, requiring strong documentation and remote diagnostic tools. Staying updated on rapidly evolving technologies in autonomy further demands ongoing learning. To address these challenges, engineers should leverage clear communication channels, utilize collaborative platforms, and participate in continuous training opportunities.

What are the key skills and qualifications needed to thrive as a remote autonomous systems engineer?

To thrive as a Remote Autonomous Systems Engineer, you need a strong background in robotics, control systems, programming (such as Python or C++), and a relevant engineering degree. Experience with simulation tools like ROS (Robot Operating System), MATLAB, and familiarity with machine learning or AI frameworks are typically required, along with certifications in automation or robotics being advantageous. Strong problem-solving skills, self-motivation, and effective remote communication set top candidates apart in this role. These skills and qualities are essential for designing, troubleshooting, and improving autonomous systems while collaborating efficiently within distributed teams.
What cities near Pharr, TX are hiring for Remote Autonomous Systems Engineer jobs? Cities near Pharr, TX with the most Remote Autonomous Systems Engineer job openings:
Remote Autonomous Systems Engineer jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

Mcallen, TX • Remote

$90 - $120/hr

Part-time

Posted 11 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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