The role involves providing telephonic interpretation services in English and Uyghur across various settings, ensuring confidentiality and superior customer service.
Overview:
As a telephonic interpreter for Uyghur in LSA’s network of Independently Contracted Interpreters, you are responsible for handling telephone calls on demand and facilitating language communication for the Limited English Proficient (LEP) community in a variety of settings, including medical, legal, and customer service. Language Services Associates is continuously accepting qualified interpreters!
Responsibilities:
· Provide effective telephonic remote interpreting
· Answer inbound calls in a timely manner
· Provide superior customer service
· Adhere to Code of Professional Conduct, including maintaining strict standards of confidentiality
· Adhere to all policies and procedures, including professional interpretation protocols and industry specific best practices
· Complete training(s) and participate in ongoing Quality Assurance monitoring
Qualifications/Experience:
· Full fluency in both English and Uyghur
· US or International Based
· Technology proficient (web-based platforms, email, Microsoft Word)
· Landline phone access for sound quality
· An interpreting space that is quiet, secure, and free from outside noises
· 2+ years of professional interpreting experience preferred
· Industry specific certifications/trainings preferred (CMI, CCHI, etc.)
· Proof of 40+ hour medical interpreting training preferred (ex: Bridging the Gap, Cross-Cultural, etc.)
LSA is passionate about what we do, which is helping people thrive in an increasingly global environment! If interested, please apply and include a copy of your resume, which emphasizes your interpreting experience.
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead AI FinOps governance to track and optimize AI spend across multi-cloud providers. Build KPI frameworks, anomaly detection, guardrails, and cost-reduction programs. Coordinate engineering, finance, and cloud vendors, deliver VP-level reporting, and operate as an independent program owner driving measurable savings and contractual correctness.
Top Skills:
AnthropicAWSAws BedrockAws BudgetsAzureAzure Cost ManagementAzure OpenaiBilling ApisGCPGcp Billing ControlsGcp Vertex AiGenai GatewayLlm Proxy PlatformsOpenaiPythonSQLToken Metering
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead federal customer relationships to drive product value, adoption, and growth. Onboard and advise executive sponsors, translate business needs into product solutions, iterate onboarding strategy, gather customer feedback, and collaborate cross-functionally to meet transformational goals.
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Provide day-to-day technical support for an AI Assistant platform built on ServiceNow: troubleshoot AI responses, agentic workflows, and API integrations; analyze logs/telemetry (Kibana, Grafana); reproduce and document bugs; perform configuration changes; triage and escalate issues; maintain SLAs and contribute to knowledge bases.
Top Skills:
GitGoogle WorkspaceGrafanaJSONKibanaMicrosoft Active DirectoryOktaPythonRest ApisServicenowWorkdayXMLYaml
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

