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Part Time Image Analysis Jobs (NOW HIRING)

Ability to project a professional image. * Knowledge of regulatory standards and compliance ... Strong organizational, prioritizing and analytical skills. * Ability to make independent decisions ...

Ability to project a professional image. * Knowledge of regulatory standards and compliance ... Strong organizational, prioritizing and analytical skills. * Ability to make independent decisions ...

Project a professional company image through phone interaction. ESSENTIAL FUNCTIONS: * Answers ... Ability to analyze schedules and assign resources appropriately, efficiently and cost effectively.

Ability to project a professional image. * Knowledge of regulatory standards and compliance ... Strong organizational, prioritizing and analytical skills. * Ability to make independent decisions ...

Ability to project a professional image. * Knowledge of regulatory standards and compliance ... Strong organizational, prioritizing and analytical skills. * Ability to make independent decisions ...

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Showing results 1-20

Part Time Image Analysis information

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$25.5K

$80.1K

$102.5K

How much do part time image analysis jobs pay per year?

As of Jul 11, 2026, the average yearly pay for part time image analysis in the United States is $80,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $93,000.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Image Analysis vs Part Time Data Annotation?

AspectPart Time Image AnalysisPart Time Data Annotation
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech-focusedRemote or on-site, tech-focused
Industry UsageAI, machine learning, healthcare, securityAI, machine learning, autonomous vehicles
Common Search IntentUnderstanding image review tasksUnderstanding data labeling tasks

Part Time Image Analysis involves reviewing and interpreting visual data, often for AI training or security purposes. Part Time Data Annotation focuses on labeling data, including images, to help train machine learning models. While both roles require attention to detail and similar skills, Image Analysis emphasizes evaluating images, whereas Data Annotation centers on labeling and tagging data for AI development.

What is a Part Time Image Analysis job?

A Part Time Image Analysis job involves working with digital images to extract information, identify patterns, or classify objects, usually using specialized software or AI tools. This role can be found in fields like healthcare, research, remote sensing, retail, or content moderation. As a part-time position, it allows for flexible scheduling and may be suitable for students or individuals seeking supplementary income. Typical tasks may include annotating images, verifying AI-generated results, or assisting with data organization for machine learning projects.

What types of projects and team collaborations can I expect in a part-time image analysis role?

In a part-time image analysis position, you will often work on a variety of projects such as annotating datasets, evaluating image quality, or supporting machine learning model development. Collaboration is typically with data scientists, engineers, and sometimes product teams, either remotely or in hybrid settings. Communication is usually managed through project management tools and regular check-ins to ensure alignment. Flexibility and attention to detail are important, as you may need to adapt to changing project requirements and deadlines.

What are the key skills and qualifications needed to thrive as a Part Time Image Analyst, and why are they important?

To thrive as a Part Time Image Analyst, you need a strong background in visual interpretation, attention to detail, and often a relevant degree in fields like computer science, engineering, or a related discipline. Familiarity with image analysis software such as Adobe Photoshop, MATLAB, or specialized AI-based tools, along with knowledge of data annotation platforms, is typically required. Strong analytical thinking, problem-solving, and the ability to communicate findings effectively are valuable soft skills in this role. These competencies ensure high-quality, accurate image evaluation and support reliable data-driven decision-making in various industries.
More about Part Time Image Analysis jobs
What cities are hiring for Part Time Image Analysis jobs? Cities with the most Part Time Image Analysis job openings:
What are the most commonly searched types of Image Analysis jobs? The most popular types of Image Analysis jobs are:
What states have the most Part Time Image Analysis jobs? States with the most job openings for Part Time Image Analysis jobs include:
What job categories do people searching Part Time Image Analysis jobs look for? The top searched job categories for Part Time Image Analysis jobs are:
Infographic showing various Part Time Image Analysis job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $80,105 per year, or $38.5 per hour.
Lead Technical Writer, Clinical AI/ML & SaMD

Lead Technical Writer, Clinical AI/ML & SaMD

Grant Engine

On-site, Remote

Full-time, Part-time

Re-posted 14 days ago


Job description

Lead Technical Writer, Clinical AI/ML amp; SaMD
We are seeking a Lead Writer to partner closely with a Program Manager in developing high-stakes federal proposals (e.g., ARPA-H, BARDA, SBIR) for industry-focused clients. The work will span regulated clinical AI and adjacent biomedical AI product development, including SaMD clinical support tools, autonomous patient-facing and clinical workflow agents with post-deployment oversight and safety monitoring, computer-vision image analysis systems, and AI-enabled medical devices (including edge AI and/or surgical robotics), with additional exposure to computational AI for drug discovery.
This is NOT a general grant-writing or editing role. We are seeking someone who can shape reviewer-credible technical narratives at the intersection of clinical AI/digital health development and deployment, rigorous validation and safety monitoring, SaMD regulatory and authorization requirements, and milestone-driven program design. They will lead the full range of technical activities required to conceptualize, prepare, and deliver grant proposals to NIH, DoD, and other government agencies. The ideal candidate is comfortable bridging next-generation innovation with real-world execution—able to see what may be technically possible and translate it into a plan that can be responsibly proposed, rigorously evaluated, and ultimately deployed to improve human health. This role requires exceptional technical writing and cross-functional synthesis, fluency in AI/ML development and validation, and the ability to handle multiple concurrent projects each with varying deadlines for execution.
Grant Engine is focused on securing funding for leading companies that have high potential to make a difference in their domain. Our vision is to improve and extend human life by supporting our clients. In this mission, we selectively work with clients whose technology has the potential to significantly improve upon the standard-of-care. In this pursuit, we hold the following core values in high regard: Trust, Customer Success, Excellence Without Bias, Teamwork.
We realize that to build this vision, Grant Engine must be a leader in the field. We identify innovation from every corner of our company and we are committed to innovation in every facet of our work. Each of us works to get results by employing, or pioneering, cutting-edge techniques in communication and program management to realize our vision. We know that every detail matters. We are committed to successfully delivering on our goals so that our partners can deliver on theirs. Everyone on our team realizes that when clients win, our mission is accomplished.
A key tenet of the Grant Engine team is that we work well together! We trust one another’s judgment and have established an effective team dynamic of delivering on our individual responsibilities to best serve our clients.
This position is part-time or full-time opportunity. Individuals with superior skills and a demonstrated track record will be considered for immediate full-time hire.
Job Title:
Lead Writer, Technical Lead, Clinical AI/ML agents
Status
Part-time or full-time opportunity (based on experience, proposal volume, and demonstrated fit).
Location
USA (remote/client-facing role).
Deliverables
Proposal Leadership amp; Drafting
  • Serve as a senior, client-facing proposal architect and lead writer for ARPA-H and related federal R amp;D pursuits in clinical AI/digital health.
  • Work directly with external clients (founders, clinicians, technical teams, consortium partners) to shape proposal strategy, technical framing, and reviewer-facing narrative.
  • Partner with internal proposal managers to align on timelines, deliverables, and submission workflows.
Draft All Proposal Sections
  • Draft all major proposal sections (not just outlines or edits), including technical narrative, significance/impact, innovation, work plan, milestones, evaluation/validation strategy, risk/mitigation, and related supporting sections as applicable.
  • Translate solicitation requirements and client inputs into clear, cohesive, submission-ready draft content.
  • Build proposal structure (workstreams/technical areas, dependencies, milestones, go/no-go logic) and write it into a reviewer-credible narrative.
Client Iteration amp; Content Refinement
  • Lead working sessions with external clients to extract technical and clinical content.
  • Iterate drafts directly with clients through review cycles, incorporating feedback while preserving clarity, coherence, and strategic positioning.
  • Resolve gaps, contradictions, and unsupported claims across sections.
  • Drive revision cycles toward a coherent, technically credible, reviewer-ready final proposal.
Necessary Qualifications:
  • PhD preferred. Master’s Degree in biology, biochemistry, biomedical engineering, other life science, or relevant background, essential.
  • Minimum 1-year scientific writing experience, preferably in a healthcare/research/academic environment.
  • Proven experience writing grants, including NIH SBIR proposals, and/or experience with other funding mechanisms.
  • Demonstrated ability to shape technical narratives for AI/ML, digital health, and software-enabled healthcare technologies in real deployment contexts.
  • Strong fluency in AI/ML technology development, clinical validation concepts, implementation and deployment realities, and regulatory/authorization constraints.
  • Proven ability to operate under ambiguity and deadline pressure while improving rigor.
Additional Qualifications and Competencies:
  • Critical Evaluation: Objectivity, critical thinking, problem solving, curiosity, inquisitiveness, research methodology, knowledge management, online search skills.
  • Communication for Impact: Exceptional verbal and written communications skills, command of the English language, strong presentation skills, diplomacy, perceptual objectivity, active listening, asking the right questions.
  • Understanding of healthcare industry trends, regulations, and emerging technologies associated with software and digital health.
  • Relationship Building: Trustworthy, competent, client-focused, credible, proactive and responsive, values the team environment, and works with mutual respect.
  • Flexibility: Ability to handle changing priorities and multiple concurrent deadlines while maintaining high quality final products.
  • Ethical Practice: Personal and professional integrity, builds trust and rapport.
Compensation:
Competitive salary commensurate with experience. Bonus eligible.