Image Review & Adjudication 

• Perform image review and violation adjudication as a primary daily responsibility — reviewing traffic enforcement images on a computer screen and determining whether violations meet the criteria for citation issuance. 

• Apply jurisdiction-specific rules, violation thresholds, and evidentiary standards consistently and accurately across all assigned programs. 

• Assess image quality, vehicle identification, and violation elements before transmitting to the next processing stage. 

• Maintain a high level of personal accuracy and throughput, setting the standard for the team. 

Team Support & Floor Leadership 

• Serve as the first point of contact for Image Review Associates during their shifts — answering questions, clarifying program-specific adjudication standards, and helping resolve routine issues without requiring supervisor involvement. 

• Assist the Image Processing Supervisor in managing daily queue priorities, workload distribution, and shift coverage as directed. 

• Monitor team throughput and flag volume concerns, queue backlogs, or pacing issues to the supervisor in a timely manner. 

• Step in to cover additional review volume during high-demand periods or when staffing is short. 

• Act as the shift point of contact in the supervisor's absence, escalating any issues that require supervisory authority. 

Quality & Accuracy Support 

• Help associates understand and consistently apply quality standards, adjudication criteria, and program-specific requirements through example and peer guidance. 

• Identify patterns of recurring errors or confusion among team members and communicate observations to the supervisor for coaching and calibration purposes. 

• Participate in quality audits, calibration sessions, and team meetings to stay current on standards and help reinforce them on the floor. 

• Flag ambiguous or complex images that fall outside standard adjudication criteria to the supervisor or QA team for review. 

Systems & Operational Coordination 

• Report system issues, image quality problems, processing errors, or unusual volume patterns to the supervisor promptly. 

• Assist with onboarding new Image Review Associates by serving as a floor resource, answering questions, and modeling correct review practices. 

• Ensure all data entry, image classifications, and processing records are completed accurately and in accordance with established procedures. 

• Comply with all Elovate policies, data privacy requirements, and program-specific confidentiality standards. 

• 1+ years of experience as an Image Review Associate or in a comparable image review, data processing, or production operations role. 

• Demonstrated accuracy and consistency in image adjudication, with a track record of meeting or exceeding quality and throughput benchmarks. 

• Strong attention to detail with the ability to maintain focus and accuracy at volume. 

• Clear and professional communication skills — able to explain adjudication standards and program requirements to peers in a helpful, constructive way. 

• Reliable and self-directed, with the ability to keep the team on track without formal supervisory authority. 

• Comfortable working in a production environment with daily throughput and quality expectations. 

• Familiarity with multiple programs or jurisdictions across Elovate's enforcement portfolio. 

• Experience with violation management platforms such as CiteWeb or similar systems. 

• Prior experience in a team lead, senior associate, or floor support role in a production or operations environment. 

Elovate uses AI-assisted tools in the image review workflow. The Image Review Team Lead is expected to work confidently alongside these tools and help associates do the same. 

• Work with AI-assisted image processing tools that may pre-screen images or flag potential violations — applying your own judgment to review those outputs and make the final adjudication decision. 

• Help associates understand how to use AI-assisted tools appropriately — reinforcing that AI supports the review process but does not replace the human judgment required for citation issuance. 

• Flag unexpected AI tool behavior, unusual outputs, or accuracy concerns to the supervisor so they can be escalated and addressed. 

• Participate in training sessions on new AI-assisted tools and help onboard associates to updated workflows as they are introduced. 

• Model responsible AI use on the floor — always reviewing, verifying, and taking personal accountability for every adjudication decision.