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Annotation Labelling Jobs in Alabama (NOW HIRING)

Senior AI/ML Engineer

Montgomery, AL · On-site +1

$103.40K - $142K/yr

Apply ML to labeling itself Collaborate with ML engineers to design and integrate ML‑driven data annotation (pre‑labeling, autolabeling, active learning loops), helping us move from human‑only ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Annotation Labelling information

What are the key skills and qualifications needed to thrive as an Annotation Labelling Specialist, and why are they important?

To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.

What are some common challenges faced by Annotation Labelling professionals, and how can they be managed?

Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.

What is annotation labelling?

Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.

What is the difference between Annotation Labelling vs Data Labeling Specialist?

AspectAnnotation LabellingData Labeling Specialist
CredentialsBasic technical skills, attention to detailSimilar skills, sometimes additional domain knowledge
Work EnvironmentData annotation platforms, remote or officeData annotation tasks, often remote or in-office
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, healthcare, retail
Search & ComparisonCommonly compared for entry-level data tasksRelated but broader role

Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.

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What job categories do people searching Annotation Labelling jobs in Alabama look for? The top searched job categories for Annotation Labelling jobs in Alabama are:
What cities in Alabama are hiring for Annotation Labelling jobs? Cities in Alabama with the most Annotation Labelling job openings:

Be part of Translate World: Ai Translation Coach

The10minutecareersolution

Montgomery, AL • On-site

$25/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Be part of Translate World: Ai Translation Coach You'll be serving to LLMs study the intricacies of language and reasoning—not simply methods to write, however methods to suppose. If you happen to've ever dreamed of shaping the intelligence behind tomorrow's expertise, that is your likelihood. That is greater than only a gig—it's a uncommon likelihood to assist form the way forward for AI from anyplace on the earth, by yourself phrases.

What You'll Be Doing: Analysis: Score/assessing the efficiency of AI fashions or algorithms based mostly on their output or conduct by means of a set of evaluative questions. Annotation Labeling: Labeling parts of a chunk of content material moderately than the content material as an entire. Classification: Assigning predefined classes or labels to objects.

Content material High quality: Evaluating the perceived high quality and/or appropriateness of content material. Content material Understanding: Producing labels to advance understanding of an idea, pattern and many others. Knowledge Augmentation: Creation of extra coaching knowledge for machine studying fashions by making use of transformations to the unique knowledge, similar to modifying photos (rotation, flipping, cropping), producing new textual content (paraphrasing, summarization), or altering audio/video alerts (pace modification, pitch shifting) to scale back overfitting and enhance dataset variety.

Grading: Reviewing knowledge and figuring out whether or not or not a product characteristic works as meant based mostly on the challenge's tips. Identification Labeling: Labeling mannequin outputs to determine if a chunk of content material is or is not one thing. Examples: determine clickbait; figuring out gaming movies; figuring out branded content material.

Desire Rating: Ordering or rating objects based mostly on a set of preferences or standards. Immediate Technology: Creating prompts or questions that can be used to generate responses from a language mannequin or different AI system. Response Technology: Producing responses to prompts or questions utilizing a language mannequin or different AI system.

Response Rewrite: Rewriting present textual content whereas preserving the unique which means, usually to enhance readability or type and adherence to tips. Response Summarization: Producing concise summaries of longer items of textual content or knowledge. Similarity Analysis: Tasks the place content material is in contrast with a purpose to drive a dedication.

Transcription: Changing spoken language or audio content material into written textual content. Translation: Changing textual content or spoken language from one language to a different. Knowledge Assortment: Gathering and compiling varied types of knowledge for use for coaching, evaluating, or fine-tuning the AI fashions.

This may increasingly embody textual content, photos, movies, audio information, or different varieties of digital content material. Minimal Qualifications: Translation: Changing textual content or spoken language from one language to a different A Bachelor's diploma or ongoing in all specializations. Superior levels are strongly most well-liked (Grasp's or PhD Skilled or Fluent degree proficiency (C1/C2) in English Hourly Vary: $25.00 USD Hourly charges at Jointranslate fluctuate relying on a wide selection of things, which can embody however usually are not restricted to the function, talent set, academic background and geographic location.

Jointranslate is an equal alternative employer and values variety. We don't discriminate on the premise of race, faith, shade, nationwide origin, gender, gender id or expression, sexual orientation, age, marital standing, veteran standing, incapacity standing, or another legally protected standing. #J-18808-Ljbffr