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Remote Knowledge Graph Software Engineer Jobs in Tucson, AZ

ABB

Protection and Control Engineer

Tucson, AZ · Remote

While this is a full remote position, there is preference for candidates located in the Northern ... Proficient software experience should include Easy Power, SKM Powertools, ETAP, Aspen, and EMTP.

New

WSP

Associate Civil Engineer, Mine Waste

Tucson, AZ · On-site +1

Comfortable working in remote settings. * Participating in and promoting a safety-first culture ... Proficiency with technical writing, office automation, software, technology, math principles ...

WestLand Resources

Engineer (Water/Wastewater)

Tucson, AZ · On-site +1

$95K - $125K/yr

Modeling software experience a plus. The wage range for this position is $95,000 - $125,000 ... Flexible work schedules and remote/hybrid possibilities for most roles. * Multidisciplinary ...

System One

Electrical Engineer PE

Tucson, AZ · Remote

$100K - $132K/yr

Hybrid - onsite and remote Overview The Electrical Engineer, PE I is responsible for overseeing the ... Possesses comprehensive knowledge of electrical engineering principles * Critical thinking skills ...

System One

Electrical Engineer PE

Tucson, AZ · Remote

$100K - $132K/yr

Hybrid - onsite and remote Overview The Electrical Engineer, PE I is responsible for overseeing the ... Possesses comprehensive knowledge of electrical engineering principles * Critical thinking skills ...

System One

Electrical Engineer PE

Tucson, AZ · Remote

$100K - $132K/yr

Hybrid - onsite and remote Overview The Electrical Engineer, PE I is responsible for overseeing the ... Possesses comprehensive knowledge of electrical engineering principles * Critical thinking skills ...

System One

Electrical Engineer PE

Tucson, AZ · Remote

$100K - $132K/yr

Hybrid - onsite and remote Overview The Electrical Engineer, PE I is responsible for overseeing the ... Possesses comprehensive knowledge of electrical engineering principles * Critical thinking skills ...

System One

Electrical Engineer PE

Tucson, AZ · Remote

$100K - $132K/yr

Hybrid - onsite and remote Overview The Electrical Engineer, PE I is responsible for overseeing the ... Possesses comprehensive knowledge of electrical engineering principles * Critical thinking skills ...

System One

Electrical Engineer PE

Tucson, AZ · Remote

$100K - $132K/yr

Hybrid - onsite and remote Overview The Electrical Engineer, PE I is responsible for overseeing the ... Possesses comprehensive knowledge of electrical engineering principles * Critical thinking skills ...

System One

Electrical Engineer PE

Tucson, AZ · Remote

$100K - $132K/yr

Hybrid - onsite and remote Overview The Electrical Engineer, PE I is responsible for overseeing the ... Possesses comprehensive knowledge of electrical engineering principles * Critical thinking skills ...

System One

Electrical Engineer PE

Tucson, AZ · Remote

$100K - $132K/yr

Hybrid - onsite and remote Overview The Electrical Engineer, PE I is responsible for overseeing the ... Possesses comprehensive knowledge of electrical engineering principles * Critical thinking skills ...

System One

Electrical Engineer PE

Tucson, AZ · Remote

$100K - $132K/yr

Hybrid - onsite and remote Overview The Electrical Engineer, PE I is responsible for overseeing the ... Possesses comprehensive knowledge of electrical engineering principles * Critical thinking skills ...

System One

Electrical Engineer PE

Tucson, AZ · Remote

$100K - $132K/yr

Hybrid - onsite and remote Overview The Electrical Engineer, PE I is responsible for overseeing the ... Possesses comprehensive knowledge of electrical engineering principles * Critical thinking skills ...

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All JobsKnowledge Graph Software Engineer JobsRemote Knowledge Graph Software Engineer JobsRemote Knowledge Graph Software Engineer Jobs in Tucson, AZ

Remote Knowledge Graph Software Engineer information

See Tucson, AZ salary details

$60K

$139.5K

$194.3K

How much do remote knowledge graph software engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote knowledge graph software engineer in Tucson, AZ is $139,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $163,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Knowledge Graph Software Engineer, and why are they important?

To thrive as a Remote Knowledge Graph Software Engineer, you need expertise in graph data modeling, proficiency in programming languages such as Python or Java, and a solid understanding of semantic web technologies, often backed by a degree in computer science or a related field. Familiarity with graph databases like Neo4j or Amazon Neptune, query languages such as SPARQL or Cypher, and experience with knowledge representation frameworks are typically required. Strong problem-solving abilities, effective remote communication, and self-motivation are crucial soft skills for this role. These skills ensure the engineer can design, implement, and maintain complex knowledge graph systems, enabling intelligent data connections and supporting scalable, collaborative remote work environments.

How does a Remote Knowledge Graph Software Engineer typically collaborate with cross-functional teams given the distributed work environment?

As a Remote Knowledge Graph Software Engineer, collaboration often happens through virtual meetings, code repositories, and shared documentation platforms. You’ll regularly interact with data scientists, product managers, and other engineers to design and implement scalable graph-based solutions. Clear communication and proactive sharing of updates are essential, as team members may be spread across multiple time zones. Utilizing tools like Slack, Jira, and GitHub, remote engineers ensure alignment on project goals, resolve blockers quickly, and contribute to a cohesive team culture.

What is a Remote Knowledge Graph Software Engineer?

A Remote Knowledge Graph Software Engineer is a software developer who specializes in designing, building, and maintaining knowledge graph systems while working from a remote location. Knowledge graphs are structured representations of data that help in connecting and analyzing information through relationships and semantics. These engineers use technologies like RDF, SPARQL, and graph databases to enable advanced data querying and integration. They often collaborate with data scientists, analysts, and other engineers to solve complex data challenges across various industries. Working remotely allows them to contribute from anywhere, using communication and collaboration tools to stay connected with their teams.
What are the most commonly searched types of Knowledge Graph Software Engineer jobs in Tucson, AZ? The most popular types of Knowledge Graph Software Engineer jobs in Tucson, AZ are:
What are popular job titles related to Remote Knowledge Graph Software Engineer jobs in Tucson, AZ? For Remote Knowledge Graph Software Engineer jobs in Tucson, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Knowledge Graph Software Engineer jobs in Tucson, AZ look for? The top searched job categories for Remote Knowledge Graph Software Engineer jobs in Tucson, AZ are:
Remote Knowledge Graph Software Engineer jobs near you
Infographic showing various Remote Knowledge Graph Software Engineer job openings in Tucson, AZ as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $139,480 per year, or $67.1 per hour.
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Tucson, AZ • Remote

$50 - $90/hr

Part-time

Posted 14 days ago

Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. 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. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

Apply