Propio Aruba Realty

Recruitment

• Source, screen, and engage interpretation vendors in alignment with Propio standards.
• Develop and maintain vendor relationships across the US market.
• Plan and execute sourcing and communication campaigns with guidance from the Director of Vendor Management and Shared Services to increase Propio’s onsite interpretation coverage.
• Conduct cold outreach via email and phone to engage and recruit potential vendor partners.
• Screen and qualify onsite interpretation vendors for compliance and quality measures.
• Facilitate contract submission by coordinating the preparation and completion of vendor agreements.
• Utilize recruiting data and analytics to aid in achieving and maintaining fill-rate standards.
• Leverage Excel to accurately track and manage vendor information.

Recruiter, Vendor Management

Scheduling Coordinator

• Work with clients to schedule On-site and Pre-Scheduled Video (VRI) Interpreter appointments to fulfill our clients’ needs and expectations.
• Manage urgent needs by accessing Propio’s database of Interpreters to solve last-minute requests by the client.
• Track and audit schedules and timesheets for the interpreters that service our clients and our community.
• Work collaboratively with other departments within the organization to ensure continuity and consistency in delivering the client experience.
• Support Interpreters by projecting a positive personality, create events and programs to increase Interpreter engagement and satisfaction.
• Ensure documentation required for Interpreters and Clients are handled securely and with confidentiality.
• Other duties as assigned.

Data Engineer

• Define the end-to-end data roadmap for multilingual and multimodal AI systems, including text, speech, translation, interpretation, low-resource languages, and agentic AI workflows.
• Design and build dataset curation pipelines for training, post-training, and evaluation, including cleaning, deduplication, filtering, PII redaction, quality scoring, sampling, balancing, and versioning.
• Create annotation schemas, labeling guidelines, QA rubrics, golden datasets, and reviewer workflows for multilingual, speech, translation, and agentic AI data.
• Build evaluation datasets and benchmarks, analyze model failure modes, and translate performance gaps into targeted data improvements.
• Support post-training data workflows such as SFT, instruction tuning, preference data, RLHF/DPO-style data, reward model data, and synthetic data generation.
• Use modern annotation tools and AWS-based data infrastructure to scale secure, traceable, and compliant AI data workflows.

AI Data Strategy Engineer – Applied Scientist, LLM Data

LLM Engineer

• Design and maintain a safety evaluation framework—adversarial prompt sets, scenario-based test suites, and regression suites—so that every model and agent update is validated before it ships.
• Lead structured red-teaming exercises covering jailbreaks, prompt injection, tool misuse, and data exfiltration; document findings and drive each issue through to remediation and closure.
• Build and iterate on guardrail logic, including input/output filtering, tool-boundary constraints, action validation, sensitive-data redaction, and policy prompting.
• Integrate safety checks into CI/CD and runtime so that unsafe behavior is intercepted before it reaches users.
• Perform threat modeling for agentic scenarios: tool-call boundaries, sandbox isolation, and least-privilege access, with particular attention to preventing agents from exfiltrating data or executing irreversible actions through chained tool calls.
• Conduct safety reviews of reinforcement-learning (RL) environments and trajectory data, partnering with environment and agent engineering teams to embed safety constraints directly into the environments themselves.
• Instrument AI features for safety with structured logging, tracing, and metrics, enabling detection of unsafe patterns and regressions in production.
• Prepare evidence for governance reviews—test reports, evaluation summaries, and mitigation validation—aligned with internal Responsible AI standards.
• Collaborate with Product and UX to improve safety interactions (warnings, confirmations, refusal messaging, and feedback collection), and align evaluation goals with the Research and Data teams.

AI/LLM Safety Engineer

Implementation Specialist

• Provide hands-on, onsite support to maintain, inspect, and deploy equipment and services at client locations.
• Ensure equipment is secure, fully functional, and operating reliably while supporting hardware rollouts and addressing client needs to deliver a high-quality service experience.
• Perform routine inspections to ensure carts are stable, secure, and free of defects (e.g., loose screws, wobbling, damaged components).
• Repair or coordinate replacement of faulty parts.
• Assist with setup, installation, and deployment of new carts, tablets, and related hardware.
• Verify proper assembly and functionality.
• Conduct regular checks and on-site testing to ensure devices and carts are functioning properly in the client environment.
• Diagnose and resolve hardware and device issues.
• Collaborate with Supplier Help Desk and local IT; escalate and track issues as needed.
• Work closely with the client contact to address concerns related to hardware, service, or applications, providing hands-on assistance.
• Partner with the Client Success representative to support client satisfaction through responsive service and communication.
• Track maintenance, repairs, deployments, and recurring issues; provide updates and recommendations to improve reliability.

Recruiter, Vendor Management

Scheduling Coordinator

AI Data Strategy Engineer – Applied Scientist, LLM Data

AI/LLM Safety Engineer

Implementation Manager