ARDOR IT SYSTEMS LLC

AI Data Annotator

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Data Annotator, offering a contract with pay ranging from $15.59 to $20.22 per hour. Key skills include Python, AWS, TensorFlow, and data mining. Experience with NLP and big data technologies is essential. Work location is in-person.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
160
-
πŸ—“οΈ - Date
March 11, 2026
πŸ•’ - Duration
Unknown
-
🏝️ - Location
On-site
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
Phoenix, AZ 85003
-
🧠 - Skills detailed
#Datasets #Bash #Deployment #Cloud #Data Storage #AWS (Amazon Web Services) #Data Mining #AI (Artificial Intelligence) #Unsupervised Learning #TensorFlow #SQL (Structured Query Language) #Data Processing #Python #Programming #SAS #"ETL (Extract #Transform #Load)" #R #Big Data #Hadoop #Talend #Storage #Spark (Apache Spark) #Data Science #Data Accuracy #Database Design #NLP (Natural Language Processing) #Model Deployment #PyTorch #ML (Machine Learning) #Unix #Supervised Learning #Java
Role description
<Overview>Join our innovative team as an AI Data Annotator and play a vital role in shaping the future of artificial intelligence and machine learning. In this dynamic position, you will be responsible for meticulously labeling and annotating diverse datasets to enable the development of sophisticated AI models. Your work will directly impact cutting-edge applications such as natural language processing, computer vision, and data mining, contributing to advancements across various industries. This paid role offers an exciting opportunity to work with state-of-the-art tools and technologies, including AWS cloud services, TensorFlow frameworks, and big data platforms. If you are passionate about data accuracy, enjoy working with complex datasets, and want to be part of a forward-thinking environment, this is the perfect role for you! <Responsibilities> Accurately annotate large volumes of data including images, videos, text, and audio to support AI model training and validation processes Utilize cloud platforms like AWS to upload, manage, and process datasets efficiently Apply machine learning frameworks such as TensorFlow and PyTorch to assist in model development and evaluation Conduct data mining and extract meaningful insights from unstructured data sources using SQL, Python, R, or SAS Collaborate with data scientists and engineers to refine annotation guidelines ensuring consistency across projects Perform quality checks on annotated datasets to maintain high standards of accuracy and completeness Support model deployment efforts by preparing labeled data for integration into AI systems using ETL tools like Talend or Hadoop-based workflows <Qualifications> Proven experience with programming languages such as Python, Java, C, or Bash (Unix shell) for data processing tasks Familiarity with big data technologies including Hadoop, Spark, and database design principles Knowledge of machine learning concepts like supervised and unsupervised learning techniques Hands-on experience with natural language processing (NLP), model training, and deployment workflows Proficiency in cloud computing platforms such as AWS for data storage and processing Understanding of AI frameworks including TensorFlow or similar tools for model development Strong analytical skills with the ability to interpret complex datasets accurately Excellent attention to detail combined with effective communication skills This role is ideal for motivated individuals eager to contribute to innovative AI projects while expanding their expertise across a broad spectrum of cutting-edge technologies. We are committed to fostering a diverse environment where your skills can thriveβ€”join us in shaping the future of intelligent systems! Pay: $15.59 - $20.22 per hour Work Location: In person