Propio Aruba Realty

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.

ASL Scheduling Coordinator

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

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.

ASL Scheduling Coordinator

Recruiter, Vendor Management

Scheduling Coordinator

AI Data Strategy Engineer – Applied Scientist, LLM Data

AI/LLM Safety Engineer