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Remote Image Segmentation Jobs in Connecticut (NOW HIRING)

Solid network security fundamental knowledge with firewalls, segmentation, secure remote access ... image scanning and automated guardrails. * Hands-on experience with infrastructure-as-code and ...

Remote Image Segmentation information

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$18

$41

$67

How much do remote image segmentation jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote image segmentation in Connecticut is $41.48, according to ZipRecruiter salary data. Most workers in this role earn between $32.26 and $48.27 per hour, depending on experience, location, and employer.

What does someone in remote image segmentation do?

A typical day for a Remote Image Segmentation specialist involves reviewing image datasets, applying annotation algorithms or manually labeling images, and collaborating with team members through virtual meetings or project management platforms. You may spend significant time optimizing models, troubleshooting data inconsistencies, and documenting your progress for other team members or stakeholders. While much of the work is independent, regular communication with data scientists, project managers, and other annotators is essential to ensure that segmentation tasks meet project goals and quality standards. This structure allows for flexibility but also demands self-motivation and strong organization to handle deadlines and evolving project requirements.

What are the key skills and qualifications needed to thrive in remote image segmentation?

To thrive as a Remote Image Segmentation specialist, you need a solid background in computer vision, deep learning, and image processing, commonly supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow, PyTorch, and annotation platforms, as well as knowledge of relevant data labeling standards, is highly important. Attention to detail, strong problem-solving skills, and clear remote communication help drive success in collaborative projects. These abilities ensure high-quality, accurate image segmentation results and efficient teamwork in distributed environments.

What is remote image segmentation?

A Remote Image Segmentation job involves labeling or partitioning images into different regions or objects using AI tools or manual annotation. This role is crucial for training computer vision models in applications like medical imaging, autonomous vehicles, and satellite imagery analysis. Professionals in this field work remotely using specialized software to annotate images accurately. Strong attention to detail and familiarity with image processing techniques are often required.

What are popular job titles related to Remote Image Segmentation jobs in Connecticut? For Remote Image Segmentation jobs in Connecticut, the most frequently searched job titles are:
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Principal Security Engineer

Libertas Funding

Greenwich, CT • Remote

$160K - $225K/yr

Other

Re-posted 4 days ago


Job description

ABOUT THE COMPANY:

Libertas Funding is an institutional-quality private credit firm headquartered in Greenwich, CT, providing growth capital, revenue-based financing, and working capital solutions to established small and medium-sized businesses nationwide. Backed by deep institutional banking and credit expertise, Libertas combines proprietary technology and disciplined underwriting with a relationship-first approach, serving as a long-term financial partner to middle-market businesses pursuing acquisitions, expansion, and other strategic growth initiatives. We seek qualified candidates who work with integrity and excellence, and who value teamwork, customer service, diversity, and accountability.

 

POSITION SUMMARY:

We are hiring a Principal Security Engineer to own security as an engineering discipline, across our cloud environment, corporate network, and physical infrastructure.  Security here is built in code and enforced through automation, rather than administered through policy alone. This is a hands-on, senior individual contributor role for an engineer who codes by craft, thinks like an attacker, and has strong opinions about how environments, networks, pipelines and observability should be built.

You will set the technical standard by doing the work: hardening the AWS environment, securing the corporate network and physical infrastructure, embedding security into CI/CD and the SDLC, and using an offensive security mindset to find and close weaknesses before adversaries do.  You will shape security-by-design architecture and set the security requirements.

KEY RESPONSIBILITIES:

  • Proactive Security: Apply offensive-security skills including thread modeling, penetration testing and vulnerability discovery against all systems, to find and remediate weaknesses proactively.
  • Security-by-Design Architecture: Shape the environment, deployment and observability strategy so security, reliability and visibility are designed in from the start.
  • Identity & Access: Own company-controlled identity and access across Okta, Microsoft 365 / Google Workspace, and AWS, consolidating privileged access under least-privilege governance.
  • Network Security: Secure the corporate network and on-premise infrastructure, including firewalls, switches, virtualization hosts and secure remote access.
  • Endpoint & Device Security: Own endpoint and device security across the fleet, hardening, patching, encryption, and ensuring all devices are managed and brought under company control.
  • Cloud & Pipeline Security: Secure the AWS environment, deployment workflows and release pipeline, integrating automated controls directly into the CI/CD, mapped to recognized frameworks such as NIST CSF.
  • Secure Software Delivery: Embed security into the SDLC, including secrets management, dependency and image scanning, and developer guardrails aligned to OWASP sure-coding standards that enable safe, fast delivery.
  • Tooling & Visibility: Own security tooling and ensure continuous logging, monitoring, and alerting so the environment stays observable and defensible.

QUALIFICATIONS:

Required

  • 7+ years of professional experience in security and software engineering, with significant hands-on time in DevSecOps and cloud security.
  • Solid network security fundamental knowledge with firewalls, segmentation, secure remote access, and securing on-premise / corporate network infrastructure.
  • Experience with endpoint and device security, including hardening, patching, encryption and managed device approaches.
  • Working fluency with identity and access management (Okta or equivalent) and modern authentication.
  • Practical offensive-security ability in threat modelling, penetration testing, or vulnerability research against systems you help build.
  • Strong software-engineering fundamentals: you write, review, and ship production-quality code and intend to keep doing so.
  • Demonstrated hands-on expertise securing cloud environments (AWS strongly preferred), including identity, network, and workload security.
  • Proven experience building security into CI/CD pipelines and the SDLC, including secrets management, dependency / image scanning and automated guardrails.
  • Hands-on experience with infrastructure-as-code and policy-as-code (e.g., Terraform, OPA, or similar).
  • Working knowledge of security operations fundamentals: logging, monitoring, detection, and incident response.
  • A collaborative, low-ego working style and the ability to operate independently in a fast-moving, foundational environment.

Preferred

  • Depth in offensive security, with practical red-team and / or penetration-testing, experience
  • Experience in financial services, fintech, or another regulated industry, with familiarity with frameworks such as NIST, SOC 2, GLBA, or FFIEC guidance.

Salary Range: $160K-$225K

Libertas Funding, LLC participates in E-Verify.  Libertas Funding, LLC will not sponsor applicants for work visas for this position.  Applicants must be currently authorized to work in the United States on a full-time basis.  Libertas Funding, LLC provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by the federal, state, or local laws.   All employment at Libertas Funding LLC, is contingent upon satisfactory reference and background checks.