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Remote Vector Tracing Jobs (NOW HIRING)

Remote, MD Dynanet Corporation Overview: Dynanet started with a focus on IT infrastructure and ... Establish defense-in-depth controls for model endpoints, vector databases, prompt routing, tools ...

Xactus is proud to provide a friendly work environment that is primarily remote. Our workforce ... Design and implement retrieval-augmented generation systems using semantic search and vector ...

Senior MLOps Engineer

$107K - $146K/yr

Implement observability: tracing, metrics, logs, dashboards, alerting for model/system health ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Senior RAG Engineer

New York, NY · Remote

$134K - $176K/yr

The role is fully remote. Work from anywhere in the EU. Requirements What You'll Do * Own the ... You've run a vector index in production: picked index parameters, dealt with the memory and latency ...

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

... and vector databases. * Orchestration & Integration: Experience developing orchestration layers ... tracing, and automated alerting) across models, agents, and orchestration layers to ensure ...

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Remote Vector Tracing information

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How much do remote vector tracing jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for remote vector tracing in the United States is $19.70, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $23.56 per hour, depending on experience, location, and employer.

What is a remote vector tracing job?

Remote Vector Tracing jobs involve converting raster images (like JPEGs or PNGs) into scalable vector graphics using software such as Adobe Illustrator or CorelDRAW. These positions are typically freelance or contract-based, allowing professionals to work from anywhere with an internet connection. Tasks may include cleaning up logos, creating line art, or preparing images for print and digital use. Strong attention to detail and proficiency with vector graphic tools are essential for success in this field.

What skills and qualifications are needed for a remote vector tracing specialist?

To thrive as a Remote Vector Tracing Specialist, you need strong proficiency in graphic design principles, attention to detail, and experience with vector graphics software like Adobe Illustrator or CorelDRAW. Familiarity with digital drawing tablets, file format standards (such as SVG, EPS, AI), and possibly relevant design certifications is highly beneficial. Excellent communication, time management, and problem-solving skills help you understand client requirements and deliver accurate results on schedule. These skills ensure high-quality, precise vector outputs that meet client expectations while enabling efficient remote collaboration.

What are common challenges faced by remote vector tracing specialists, and how can they be addressed?

Remote vector tracing specialists often encounter challenges such as inconsistent project specifications, communication gaps with clients or team members, and managing tight deadlines. To address these, it's important to establish clear communication channels, ask clarifying questions about project requirements, and use collaborative tools to share progress and receive timely feedback. Setting a structured workflow and maintaining organized files can also help ensure accuracy and efficiency while working remotely.

What is the difference between Remote Vector Tracing vs Remote Graphic Designer?

AspectRemote Vector TracingRemote Graphic Designer
Required SkillsVector software proficiency, attention to detailDesign software skills, creativity, layout skills
Work EnvironmentMostly focused on image tracing and editingBroader design projects including branding, layouts
Industry UsageUsed in printing, manufacturing, digital artUsed in marketing, advertising, branding
CertificationsNone mandatory, but certifications in Adobe Illustrator helpfulDesign degrees or certifications often preferred

Remote Vector Tracing involves converting images into vector formats with precision, mainly focusing on image editing. Remote Graphic Designers handle a wider range of creative tasks, including branding and layout design. While both roles require design software skills, vector tracing is more specialized, whereas graphic design covers broader creative responsibilities.

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Infographic showing various Remote Vector Tracing job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $40,972 per year, or $19.7 per hour.

AI Security Engineer

MD • Remote

Dynanet Corporation
IT Services • 51 - 200 employees

Full-time

Medical, Dental, Retirement, PTO

Posted 16 days ago


Job description

Description

Position Details: 

Job Title: AI Security Engineer 

Job Type: Full-time 

Location: Remote, MD 

Dynanet Corporation Overview: 

Dynanet started with a focus on IT infrastructure and operations, helping organizations enhance their networks and overcome the limitations of 1990s technology. From strengthening communication channels to introducing innovative ways to collaborate and share information, Dynanet played a crucial role in shaping the early stages of digital transformation. The company's efforts helped organizations build the very fabric of connectivity that now powers our modern world. Over the last three decades, Dynanet has grown into a trusted partner for organizations looking to innovate boldly and transform seamlessly. While technology continues to evolve and unlock new opportunities, for nearly 30 years, Dynanet remains committed to delivering cutting-edge solutions that drive lasting change for its customers. Through agility, foresight, and an unwavering dedication to excellence, Dynanet continues to empower organizations to thrive in a rapidly changing digital landscape. Our story is more than just a story of technology - it's a story of vision, growth, and transformation that has shaped the past and continues to pave the way for the future. 

Requirements

Roles & Responsibilities: 

Security Architecture for AI Workloads 

  • Design reference architectures for secure LLM/AI agent deployments across Azure, AWS, or hybrid environments. 
  • Establish defense-in-depth controls for model endpoints, vector databases, prompt routing, tools/plugins, and orchestration layers. 

Guardrails & Policy Enforcement 

  • Implement runtime guardrails including prompt injection defenses, output content filtering, PII detection/redaction, jailbreak prevention, and tool use restrictions. 
  • Codify enterprise policies (acceptable use, data residency, retention, secrets handling) into enforceable controls through middleware, gateways, and policy engines. 

Identity, Access & Data Protection 

  • Integrate Entra ID / Azure AD, OAuth/OIDC, and RBAC/ABAC models. 
  • Apply data security measures including DLP, encryption, key management/HSM, tokenization, and fine-grained data access for RAG pipelines. 

Secure SDLC for AI 

  • Embed threat modeling, secure coding, dependency scanning, secret scanning, and SAST/DAST into AI app pipelines. 
  • Define AI-specific code review checklists for prompt templates, tool bindings, and agent plans. 

Risk, Governance & Compliance 

  • Operationalize NIST AI RMF, ISO/IEC 27001 & 42001, SOC 2; align with FedRAMP, FISMA, NIST 800-53, and agency-specific controls. 
  • Maintain model cards, data lineage, evaluation reports, and audit trails for AI decisions and tool calls. 

AI Red Teaming & Evaluation 

  • Design adversarial tests for jailbreaks, prompt injections, data exfiltration attempts, and toxic outputs. 
  • Build automated evaluation harnesses and metrics such as hallucination rates, sensitive content occurrence, and tool misuse rates. 

Monitoring & Incident Response 

  • Establish observability for AI systems including privacy-aware logging, policy hits, model drift detection, cost governance, and anomalies. 
  • Define playbooks for AI incidents involving unsafe outputs, data leakage, compromised tools, or model endpoint abuse. 

Stakeholder Enablement 

  • Partner with Product and Engineering teams to safely accelerate new AI use cases. 
  • Provide training and guidance on responsible AI, secure agent design, and safe prompt engineering. 

Required Professional Skills: 

Cloud & AI Platforms 

  • Azure (Azure OpenAI, AI Studio, AKS, Key Vault, Entra ID, Defender), Microsoft Purview, and M365 Copilot governance. 
  • Experience with AWS (Bedrock, SageMaker, KMS) or GCP Vertex AI. 

LLM/Agent Security 

  • Hands-on guardrail implementation including content filters, safety classifiers, prompt injection defenses, jailbreak prevention, and tool whitelisting. 
  • Securing RAG pipelines and vector databases (Cosmos DB + pgvector/FAISS, Pinecone, Weaviate). 

Identity & Access 

  • OAuth/OIDC, SAML, SCIM, RBAC/ABAC; secrets management via Key Vault, Parameter Store, or Vault. 

Data Security 

  • Encryption, tokenization, redaction, differential privacy basics, DLP-based PII/PHI detection. 
  • Experience with data classification, retention, and lineage. 

Application Security & DevSecOps 

  • STRIDE threat modeling, secure coding, dependency scanning, secret scanning, SAST/DAST. 
  • CI/CD for AI apps (GitHub Actions/Azure DevOps), IaC (Bicep/Terraform), policy-as-code (OPA/Conftest/Azure Policy). 

Observability & Incident Response 

  • Logging with Azure Monitor/Sentinel, tracing, metrics, and automated AI evaluation pipelines integrated with SIEM/SOAR. 

Compliance & Governance 

  • Working knowledge of NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, and public sector controls. 
  • Experience documenting controls, audits, and risk assessments. 

Programming & Frameworks 

  • Proficiency in Python or TypeScript/Node.js. 
  • Experience with agent/orchestration frameworks (LangChain, Semantic Kernel, Guidance, DSPy). 

Preferred Professional Skills: 

  • 5-8+ years in application/cloud security with 2+ years in AI/ML or LLM security. 
  • Experience enabling enterprise AI use cases or AI agents in regulated environments. 
  • Familiarity with Microsoft Copilot for M365 governance and Microsoft Purview. 
  • Experience with AI red teaming and building evaluation harnesses. 
  • Exposure to privacy regulations (HIPAA, GLBA, GDPR/CCPA) and public-sector compliance. 
  • Contributions to security frameworks or open-source guardrail tools 

Dynanet Team Requirements and Expectations: 

  • Possess Strong written and verbal communication skills. 
  • Highly organized with the ability to prioritize, balance, and effectively advance multiple competing priorities in a high-volume, fast-paced environment. 
  • Ability to interact in a professional and collaborative manner with fellow Dynanet Teammates and the clients, and business partners that we work with. 
  • Ability and desire to challenge and educate yourself to support and advance IT services delivery in the Federal agencies we serve. 
  • Excellent judgment and creative problem-solving skills. 
  • Respond to team member and client requests via email, MS teams, or other communication means during core business hours. 
  • Active listening skills to understand clients' needs, and collaboration skills to work with other developers and designers. 

Education/Experience Requirements: 

  • Relevant degree in Computer Science, Engineering, Cybersecurity, or equivalent experience. 

Nice to Have Certs 

  • CISSP, CCSP, Azure Security Engineer (AZ-500), GIAC (GWEB/GWAPT/GXPN), OSCP. 
  • Azure AI Engineer (AI-102), Azure Solutions Architect (AZ-305), AWS Security Specialty. 
  • CISA, ISO 27001 Lead Implementer, Responsible AI certifications 

Employee Benefits Overview: 

  • Industry Competitive Compensation 
  • Medical and Dental Insurance 
  • Paid Time Off/Holidays 
  • 401(k) Retirement Plans with Matching 
  • Remote Work* 
  • Paid Training 
  • Employee Referral Program 
  • Employee Development Program