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Remote Historian Jobs in Austin, TX (NOW HIRING)

VP of Engineering

Austin, TX · Remote

$200K - $230K/yr

Location: Remote (United States) . RESPONSIBILITIES: * Own end-to-end architecture for an ... historians). * Strong product intuition and ability to guide product direction alongside ...

Remote Historian information

See Austin, TX salary details

$30.2K

$85.6K

$136.3K

How much do remote historian jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote historian in Austin, TX is $85,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $104,100.00 per year, depending on experience, location, and employer.

What is a remote historian?

A Remote Historian researches, analyzes, and interprets historical data while working remotely. They may write articles, create reports, fact-check historical information, or contribute to documentaries, museums, or academic projects. Common tasks include archival research, data analysis, and digital preservation. This role is often found in educational institutions, research firms, or freelance projects. Strong research skills, attention to detail, and proficiency with digital archives are essential.

What are the key skills and qualifications needed to thrive in the remote historian position, and why are they important?

To thrive as a Remote Historian, you need a solid background in historical research, analysis, and writing, often supported by a degree in history or a related discipline. Familiarity with digital archival tools, citation management systems, and online databases is commonly expected, and experience with virtual collaboration platforms is also valuable. Excellent communication, time management, and self-motivation are essential soft skills for excelling in a remote environment. These skills enable effective research, contribution to collaborative projects, and successful completion of assignments while working independently.

What are the most commonly searched types of Historian jobs in Austin, TX?

The most popular types of Historian jobs in Austin, TX are:

What are popular job titles related to Remote Historian jobs in Austin, TX?

For Remote Historian jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Remote Historian jobs in Austin, TX look for?

The top searched job categories for Remote Historian jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Historian jobs?

Cities near Austin, TX with the most Remote Historian job openings:

Infographic showing various Remote Historian job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $85,576 per year, or $41.1 per hour.

VP of Engineering

Octagon Talent

Austin, TX • Remote

$200K - $230K/yr

Full-time

Re-posted 2 days ago


Job description

Octagon Talent Solutions is a full-service technology recruitment and staffing company based in South Florida. We humanize technical recruitment by identifying candidates' long-term career goals and assessing cultural fit when presenting opportunities. Our focus on long-term relationships helps ensure placements that last.


Job Overview: We’re hiring a hands-on VP of Engineering (CTO-equivalent) to lead architecture and execution for an industrial AI platform that connects edge sensors and factory systems to cloud intelligence. This is a builder role for a technical leader who stays close to the code, thrives in early-stage environments, and can translate real-world industrial problems into scalable products. Location: Remote (United States).


RESPONSIBILITIES:


  • Own end-to-end architecture for an Industrial OS spanning edge connectivity (RTSP cameras, vibration/thermal/time-series sensors, PLC signals via OPC-UA/Modbus), multimodal ingestion/normalization, and cloud orchestration.
  • Lead technical strategy and design decisions for a secure, reliable, scalable platform supporting real-time video + sensor + PLC fusion and high-uptime production environments.
  • Remain hands-on in the codebase: implement and refactor critical components, review PRs, debug production issues, and run design reviews (Python/TypeScript).
  • Build, mentor, and lead a high-performing engineering team in a flat, accountable org—setting the quality bar and raising execution speed.
  • Drive the shared intelligence layer to capture reusable templates and patterns from deployments (with privacy-safe anonymization), accelerating future onboardings.
  • Partner with product and founders on roadmap and delivery—shipping from prototypes to production agents (vision quality, predictive maintenance/anomaly, and operations planning).
  • Represent the technical vision externally with customers and investors via demos, architecture narratives, and product credibility.


REQUIREMENTS:


  • 8+ years in senior engineering leadership (VP/Head of Engineering/CTO), with clear examples of owning architecture decisions for complex distributed systems.
  • Demonstrated hands-on technical depth—recent coding, system design, and technical decision-making (not strategy-only leadership).
  • Proven experience building products 0-to-1 in a startup or VC-backed environment (founder or early engineering leadership experience a plus).
  • Heavy industry exposure (manufacturing, energy, utilities, oil & gas, defense) and/or industrial platform experience serving these environments.
  • Experience with industrial/physical systems and data platforms: IoT/edge computing, streaming pipelines, sensor-driven systems, time-series data, and integrations with enterprise systems (ERP/CMMS/WMS/historians).
  • Strong product intuition and ability to guide product direction alongside engineering.
  • Ability to communicate clearly with technical and non-technical stakeholders; confident leading demos and discussions.


NICE TO HAVE:


  • Digital twin / simulation / high-fidelity data or industrial AI platform experience.
  • Familiarity with ontology/asset modeling, multimodal ML pipelines, and production ML inference integration.
  • Defense tech or other high-stakes, complex systems background.


NOT A FIT IF:


  • Experience is primarily consumer tech or financial services without industrial systems exposure.
  • Leadership profile is primarily managerial/consultative without recent hands-on technical ownership.