SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. With advanced annotation and QA tools, data curation, automation features, native integrations, and data governance, we enable enterprises to build datasets and successful ML pipelines. Partner with SuperAnnotate’s expert and professionally managed annotation workforce that can help you quickly deliver high-quality data for building top-performing models.
SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. With advanced annotation and QA tools, data curation, automation features, native integrations, and data governance, we enable enterprises to build datasets and successful ML pipelines. Partner with SuperAnnotate’s expert and professionally managed annotation workforce that can help you quickly deliver high-quality data for building top-performing models.
What they do: AI data platform and managed data-services for building and evaluating high-quality datasets (computer vision, NLP, generative AI)
Founders: Vahan Petrosyan (CEO) and Tigran Petrosyan (President)
Founded: 2018
Latest known funding: Series B $36M (Nov 18, 2024); total funding just over $53M
Headquarters: San Francisco / Silicon Valley
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Company Overview
Problem Domain
AI training-data creation, labeling, QA, and data ops for ML pipelines
Founded
2018
Industry
Software Development
Funding Track Record
Seed- June 2020
$3,000,000
Series A- July 2021
$14,500,000
Series B- November 18, 2024
$36,000,000
Participants included NVIDIA and Databricks Ventures
Investor Signal
“Strategic investor participation from NVIDIA and Databricks Ventures in Series B”
Founders
What we do
Join the Team
AI Workforce Experience Associate
On-SiteDhaka, BD
On-Site • Dhaka, BD
About SuperAnnotate
SuperAnnotate
is a San Francisco based AI company. We specialize in providing cutting-edge data pipeline solutions for Machine Learning, LLM, and GenAI solutions to large enterprise clients, helping them leverage the power of AI to transform their businesses. SuperAnnotate has a fully customizable platform for building annotation tools and workflows that AI projects demand — while unifying the management of all teams, vendors, and data in one place. We’re very proud to have products that are loved by our customers, resulting in us being listed as the
highest-ranked platform on G2
.
Why This Role Matters
We are seeking a highly detail-oriented AI Workforce Experience Associate to support the execution of complex Large Language Model (LLM) and multimodal annotation projects. As an AI Workforce Experience Associate, you will play a key role in keeping LLM and multimodal annotation projects on track while ensuring contractors remain productive and supported after onboarding.
This role bridges AI data operations and contractor success, helping resolve operational, technical, and payment-related issues that can impact delivery and quality. Your work will directly influence on-time delivery, data quality, and contractor experience—critical to scaling AI data pipelines for global enterprise clients.
What You Will Do
What You Will Bring
Educational Background:
Bachelor’s degree in any relevant field
Why Join Us?
Work on cutting-edge LLM and multimodal AI projects used by global enterprise clients.
Gain hands-on exposure to real-world AI data operations at scale.
Build strong operational, coordination, and problem-solving skills in a fast-growing AI infrastructure environment.
Compensation & Benefits:
Competitive salary aligned with experience and company policy.
Festival bonuses and performance-based incentives.
Learning and professional development opportunities in AI operations.
Work Schedule & Location:
24/7 operational environment supporting global AI projects.
Location: Mirpur DOHS
Schedule and Shifts:
Any 5 working days per week (rostered), which may include weekends based on operational requirements.
Rotational shifts aligned with 24/7 operational requirements.
Shifts will be assigned based on project needs and team rostering, with advance notice provided.
Salary:
BDT 40,000 - 60,000 BDT (Based on Skills and Experience)
Note
: In addition to the monthly salary, employees are eligible for
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
Our Unique Offers
Innovative Environment:
Join a top Global AI innovator at the forefront of cutting-edge advancements.
Impactful Work:
Contribute to global AI progress and shape the future of technology by building our human data engine.
Growth Opportunity
: Ideal for professionals seeking new challenges in the global AI industry.
Competitive Compensation:
Enjoy a rewarding salary and a comprehensive benefits package.
Multicultural Exposure:
Thrive in a diverse collaborative environment that fuels innovation.
Only shortlisted candidates will be contacted for an interview!
The job will require to be contracted through our local partner in Bangladesh.
Equal Opportunity
We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Coordinate end-to-end execution of LLM, multimodal, and complex annotation tasks, ensuring clarity on guidelines, edge cases, priorities, and quality standards.
Translate project requirements into clear, actionable task assignments for annotators and QAs.
Assign, rebalance, and prioritize annotators and QAs based on skill fit, availability, urgency, and delivery risk.
Drive daily execution by tracking task progress, monitoring throughput and queues, resolving blockers, and ensuring on-time delivery.
Act as the primary operational point of contact for annotators and QAs, managing task-related communication, clarifications, and execution alignment.
Monitor operational performance and quality trends, identify workflow or QA risks (e.g., recurring error patterns or throughput drops), and recommend process improvements.
Escalate risks, delays, and ambiguities to stakeholders with clear context, impact assessment, and mitigation proposals.
Maintain accurate documentation and reporting on task status, quality outcomes, operational metrics, and key learnings.
Manage and coordinate post-onboarding contractor operational issues, including platform access challenges, task visibility, workflow questions, and execution-related concerns.
Forward and coordinate contractor technical or platform-related issues with relevant internal support or engineering teams, and track resolution.
Handle contractor payment-related inquiries, including payment status checks, payout discrepancies, and invoice-related questions, by coordinating with finance and internal stakeholders.
Ensure timely follow-ups and resolution of contractor issues to minimize disruption and maintain high satisfaction.
Maintain accurate logs of contractor issues, resolutions, and recurring patterns to support continuous improvement.
Work cross-functionally with Operations, Support, QA, Finance, and Talent teams to ensure smooth execution and issue resolution.
Contribute to improving SOPs, communication templates, internal documentation, and operational playbooks related to both AI data execution and contractor support.
Help build a scalable, reliable, and contractor-friendly AI data operations environment supporting global enterprise clients.
English proficiency: C2 level (Proficient / Near-Native) required.
Experience:
2-3 years
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.
AI Workforce Experience Associate | SuperAnnotate · Teeming.ai
