Workforce Experience Associate – Specialist

SuperAnnotate

Workforce Experience Associate managing LLM and multimodal annotation projects for global AI clients. Driving execution, quality, and contractor success in a scalable AI data operations environment.

Posted 7/9/2026contractDhaka • 🇧🇩 BangladeshJuniorMid-Level💰 BDT 35,000 - BDT 50,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing complex LLM and multimodal annotation workflows, ensuring quality and timely project execution. Proficient in operational performance monitoring, risk identification, and cross-functional collaboration to enhance AI data operations.

Highest-signal resume keywords

LLM Annotation Workflow ManagementTask Tracking ProficiencyOperational Risk MitigationCross-Functional CollaborationEnglish Proficiency C2 Level

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Annotation WorkflowsProject ManagementQuality AssuranceData Annotation PlatformsScriptingAutomationNLP ConceptsMultimodal AI ConceptsSpreadsheet ProficiencyPerformance Metrics Analysis

Soft Skills

Proactive Problem-SolverStrong Organizational SkillsMentoringCommunication

Tools & Technologies

SlackDiscordJiraCollaboration Tools

Industry Keywords

AI Data OperationsOperational PlaybooksSOPsTask AllocationQuality Standards

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Own and drive the end-to-end execution of complex LLM, multimodal, and annotation workflows, ensuring adherence to project requirements, quality standards, delivery timelines, and operational priorities.
Translate project requirements into clear execution strategies, task structures, and actionable guidance for Associates, annotators, and QA specialists, including handling ambiguous guidelines and edge cases.
Manage workforce allocation across projects by assigning, prioritizing, and rebalancing tasks based on skill fit, availability, performance trends, delivery constraints, and operational risk.
Drive daily operations by monitoring task progress, throughput, quality metrics, and delivery health; proactively identify risks, resolve blockers, and ensure on-time project completion.
Serve as a key operational point of contact for Associates, annotators, and QA specialists, providing guidance, clarifications, and execution support.
Monitor quality and operational performance, conduct root-cause analysis of systemic issues, identify recurring error patterns, and recommend process improvements and risk mitigation strategies.
Escalate complex operational, contractor, and project-related issues to stakeholders with clear context, impact assessment, and proposed resolutions; act as an escalation point for Associates when deeper analysis or cross-functional coordination is required.
Manage post-onboarding contractor issues, including execution blockers, platform access, workflow questions, performance concerns, and payment-related inquiries, coordinating with Support, Engineering, Finance, Talent, and other stakeholders to ensure timely resolution.
Maintain accurate documentation, reporting, and issue tracking related to project execution, quality outcomes, operational metrics, contractor support, and key learnings.
Contribute to the continuous improvement of SOPs, operational playbooks, communication templates, and workflow processes to support scalable and efficient AI data operations.
Support and mentor AI Workforce Experience Associates by sharing best practices, providing operational guidance, and assisting with complex issue resolution.
Collaborate cross-functionally to build a scalable, reliable, and contractor-friendly AI data operations environment that delivers high-quality outcomes for global enterprise clients.

Requirements

What you’ll need

Bachelor’s degree in any relevant field
English proficiency: C2 level (Proficient / Near-Native) required.
1-3 years of experience
Strong understanding of annotation workflows, especially for LLM, NLP, vision-language, or multimodal projects.
High proficiency in task tracking using spreadsheets and collaboration tools.
Strong organizational skills with the ability to manage multiple task streams simultaneously.
Proactive problem-solver with a keen eye for operational gaps and execution risks.
Experience with Slack, Discord, Jira, or similar collaboration/project tools is a plus.
Familiarity with data annotation platforms and QA workflows.
A basic understanding of LLM or multimodal AI concepts is a strong advantage.
Exposure to scripting or automation (e.g. Python, Sheets formulas) is a plus.

Benefits

Comp & perks

Competitive salary aligned with experience and company policy.
Festival bonuses and performance-based incentives.
Learning and professional development opportunities in AI operations.
Two Festival Bonuses
Earned Leave Encashment
Group Health Insurance
Yearly Performance and Salary Review
Employee Engagement Programs (Pahela Baishakh, Falgun, Year-Ending Program, New Year Celebration, Annual Picnic / Outing)
Morning Snacks