Dedicated annotators, three-layer QA and delivery centers across the Americas, Europe and Asia. Start with a free 48-hour pilot on your own data.
Labeling volume usually grows faster than the team that can check it. Data annotation outsourcing with Annotera gives you a managed team that works to your guidelines, reports quality every week and stays assigned to your program. Our 1,500+ annotators are employed and trained by us rather than sourced from a crowd marketplace, so the people who label your pilot are the people who scale it.
Annotera is part of the Omind AI portfolio and runs on the delivery network of Fusion CX, a publicly listed customer experience company with 17,000 people across 40 delivery centers in 13 countries. That footprint lets us place each program where its cost, language and compliance needs are best met. AI teams outsource to us for autonomous vehicle, healthcare, retail and security programs, among others.
Every modality we label is available as a managed program, from a single pilot batch to multi-year production pipelines. Each team is trained on your taxonomy and edge cases before it touches production data.
Entity recognition, sentiment, intent and content moderation labels for NLP models and LLM training sets.
Bounding boxes, polygons, segmentation and keypoints for computer vision in retail, security and autonomy.
Frame-level labels, multi-object tracking and event tagging with consistent object IDs across long sequences.
Transcription, speaker identification and sound event tagging in 28+ languages and dialects.
Preference ranking for RLHF, prompt and response evaluation, and red-teaming datasets for model fine-tuning.
3D cuboids, point-level segmentation and LiDAR-camera fusion labels for perception stacks.
Image, video, audio, text and sensor data captured to your specification, then labeled by the same team.
Native-speaker annotation in Spanish, French, German, Italian, Portuguese and Arabic for EU and global programs.
Choose where your data is handled. Many programs combine models: sensitive review and final acceptance stay onshore while high-volume labeling runs nearshore or offshore. Every site is listed on our global delivery locations page.
U.S.-based annotators for regulated data, sensitive programs and work that must be processed in-country.
Large, cost-efficient teams in India and the Philippines for high-volume labeling with 24/7, follow-the-sun turnaround.
A structured start keeps quality high before volume arrives. Every Annotera program moves through the same three stages, and you see measured results at each one.
We label a sample from your dataset, usually within 48 hours, and score it against your gold set and acceptance criteria before you commit.
Guidelines, edge cases and accuracy thresholds are agreed in writing. Annotators are trained and certified on them, then the team scales in stages.
A named delivery manager, weekly quality and throughput reports, and capacity that flexes with your release schedule.
Outsourcing only works if quality, security and continuity hold up after the pilot. These commitments apply to every program we run.
Employed annotators assigned to your project, so domain knowledge builds over time instead of resetting with every batch.
A free 48-hour pilot on your own data, scored against your acceptance criteria before any contract is signed.
ISO/IEC 27001:2022, SOC 2 Type II and HITRUST CSF certified operations, HIPAA-compliant healthcare workflows and GDPR-compliant handling for EU data.
We work inside your annotation platform or in established commercial tools, and deliver in the formats your pipeline expects.
Annotator self-review, team-lead checks and independent QA validation, against a 99.2% first-pass accuracy benchmark.
Teams scale with demand: one monitoring program went live with 100+ people and met every KPI by week four.
Autonomous retail
Annotation partner since 2020 to a global cashierless-store technology company, delivered from India, the Philippines and Albania for stores and live-event venues across the U.S. and Europe.
Wildfire monitoring
A 100+ person human-in-the-loop team went live on April 10, 2025, met every KPI by week four and reached 100% certification on real wildfire scenario simulations.
Straight answers on cost, security, ramp time and how an outsourced team fits alongside your in-house ML staff.
It means contracting an external team to label your training data (images, video, text, audio, LiDAR or LLM outputs) to your guidelines and quality targets. With a managed provider such as Annotera, the provider recruits, trains and supervises the annotators, runs quality assurance and reports accuracy, so your ML team reviews results instead of managing labelers.
Cost depends on modality, label complexity, volume, turnaround and delivery location. Well-defined tasks are usually priced per labeled unit, such as per image, per video frame or per audio hour. Evolving programs that need a stable team are often priced per dedicated annotator. We quote after a pilot on your data, so the price reflects your real complexity rather than an estimate.
Annotera programs run inside Fusion CX operations certified to ISO/IEC 27001:2022, SOC 2 Type II and HITRUST CSF, with HIPAA-compliant workflows for healthcare data. Projects run in access-controlled environments with role-based permissions and NDA-bound staff, and EU personal data is handled under GDPR. If you prefer, our annotators work entirely inside your own platform, so data never leaves your environment.
A pilot batch is usually returned within 48 hours. Once guidelines are signed off, the team is trained, certified and scaled in stages. On one recent program, a 100+ person team went live and met every KPI by week four.
Keep in-house the work that defines your labeling policy: guideline design, gold-set creation and final acceptance. Outsource the volume. Most teams we work with run a hybrid model, and our decision framework for outsourcing versus in-house annotation walks through the trade-offs.
Yes. Our annotators work in client-hosted platforms as well as established commercial labeling tools. We match your export formats, so labeled data drops straight into your training pipeline.
